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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. 9-RES-JB
    11. 5637
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    Explanations

    statistical information related to sports games, such as scores, points, and game statistics

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "games" and its related quantifiers within a competitive context, indicating sports or competitive events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.73
    yg
    -0.65
    argon
    -0.61
    opoly
    -0.60
    ges
    -0.59
    choes
    -0.59
    uras
    -0.58
    ksh
    -0.58
    ocracy
    -0.58
    resources
    -0.58
    POSITIVE LOGITS
     Played
    1.03
     played
    0.96
     Ago
    0.95
     apiece
    0.94
     ago
    0.88
     unbeaten
    0.84
    heet
    0.81
     consecut
    0.79
     coached
    0.77
    hare
    0.75
    Activations Density 0.070%

    No Known Activations