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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. 3-RES-JB
    11. 8979
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to legal or plaintiff-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ctors
    -0.81
     mosqu
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    onut
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     favourite
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     donate
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     Babel
    -0.69
    anish
    -0.68
     condol
    -0.68
     Seym
    -0.66
     Leban
    -0.66
    POSITIVE LOGITS
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    £
    0.84
    Demand
    0.82
    Introduced
    0.82
    Activations Density 0.399%

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