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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. 15181
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    INDEX
    Explanations

    references to sports-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sports-related topics

    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
    idges
    -0.79
    ividual
    -0.71
    ignt
    -0.71
    ipop
    -0.69
    ufact
    -0.68
    owicz
    -0.65
    arine
    -0.65
     Unloaded
    -0.63
    arity
    -0.63
     faulty
    -0.60
    POSITIVE LOGITS
    manship
    1.23
    men
    1.00
     leagues
    0.86
    mens
    0.83
    nell
    0.83
    urgical
    0.81
     stadiums
    0.81
     Illustrated
    0.81
    mans
    0.80
    man
    0.78
    Activations Density 0.025%

    No Known Activations