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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. 1-RES-JB
    11. 11287
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    Explanations

    references to a specific sports team named "Bucks"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Bucks" (Milwaukee Bucks basketball team) and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ppe
    -0.78
    UME
    -0.73
    izen
    -0.71
    ALLY
    -0.70
     Portug
    -0.69
    \\\\\\\\\\\\\\\\
    -0.68
    ORY
    -0.67
    antly
    -0.67
    nce
    -0.66
    ATIONS
    -0.65
    POSITIVE LOGITS
     Bucks
    1.46
    hot
    1.06
    keye
    0.86
    axter
    0.81
    hots
    0.81
    sylv
    0.80
    hire
    0.79
    men
    0.77
    manship
    0.76
    eret
    0.76
    Activations Density 0.006%

    No Known Activations