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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. 6-RES-JB
    11. 20569
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    oai_token-act-pair · gpt-3.5-turbo

    phrases that mention lists or enumerations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Aber
    -0.72
    irgin
    -0.63
     Abbey
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     Huck
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    icago
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     Fine
    -0.61
    ione
    -0.61
     seas
    -0.61
    Fine
    -0.60
    issance
    -0.60
    POSITIVE LOGITS
    erv
    1.20
    icles
    0.88
    lists
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    abet
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    icle
    0.83
    ening
    0.83
    erve
    0.83
    ener
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     comprehens
    0.82
    ön
    0.78
    Activations Density 0.039%

    No Known Activations