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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 3397
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    clauses related to contracts and agreements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Ħ¢
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    OY
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    itte
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     Moments
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     GOODMAN
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    heimer
    -0.60
     Lives
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    ¢
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    Second
    -0.58
    POSITIVE LOGITS
    depending
    0.70
     whichever
    0.65
     rented
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     expectancy
    0.58
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    0.56
     longest
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     blister
    0.54
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    0.54
    Activations Density 0.624%

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