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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. 11-RES-JB
    11. 476
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    INDEX
    Explanations

    events or actions in a sports match, particularly soccer

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports events, particularly goals and penalties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TPP
    -0.95
    soDeliveryDate
    -0.92
    FY
    -0.87
    ramid
    -0.82
    soType
    -0.78
    ertain
    -0.78
     largeDownload
    -0.77
    idences
    -0.76
    -$
    -0.76
    achelor
    -0.75
    POSITIVE LOGITS
     goalkeeper
    1.29
     keeper
    1.10
     defender
    1.08
     substitute
    1.05
     referee
    1.04
     midfielder
    1.03
     winger
    1.00
     Nigel
    0.95
     Tomas
    0.95
     teammate
    0.95
    Activations Density 0.118%

    No Known Activations