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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. 16924
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    Explanations

    words related to cycling events, particularly the "Tour de France."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Tour de France

    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
    milo
    -0.72
     proport
    -0.71
    rew
    -0.68
    arial
    -0.68
     pronounced
    -0.68
    isSpecialOrderable
    -0.66
     sustaining
    -0.63
    rencies
    -0.63
    bread
    -0.60
    practice
    -0.60
    POSITIVE LOGITS
     Tour
    1.15
    neys
    1.08
    Tour
    0.96
    neau
    0.93
     Tours
    0.91
    ists
    0.85
    engers
    0.83
    ney
    0.82
     Dates
    0.78
    athon
    0.77
    Activations Density 0.009%

    No Known Activations