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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. 9777
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    INDEX
    Explanations

    mentions of individuals or entities being inducted into a hall of fame

    oai_token-act-pair · gpt-3.5-turbo

    references to various Halls of Fame in different sports and entertainment categories

    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
    Not in Any Lists

    No Comments

    Negative Logits
    nian
    -0.68
    owicz
    -0.66
    resp
    -0.66
    PDF
    -0.65
     Adobe
    -0.65
    cos
    -0.64
    cedented
    -0.63
     vectors
    -0.61
    respond
    -0.61
    pdf
    -0.59
    POSITIVE LOGITS
     Fame
    1.35
    rities
    0.98
    naire
    0.85
     Trophy
    0.84
    isSpecialOrderable
    0.80
    brance
    0.80
     Bowl
    0.79
     fame
    0.78
     induct
    0.77
     induction
    0.76
    Activations Density 0.012%

    No Known Activations