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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. 1025
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    Explanations

    statistics and quantitative information related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    statistical data related to games and sports performance metrics

    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
    cro
    -0.66
    riber
    -0.66
    vine
    -0.65
     fallacy
    -0.64
    insula
    -0.64
    rity
    -0.64
     envy
    -0.63
     proverb
    -0.62
     specificity
    -0.62
     insign
    -0.62
    POSITIVE LOGITS
     outings
    1.21
     innings
    1.17
     appearances
    0.99
     outing
    0.97
     stint
    0.96
     games
    0.95
     scrimmage
    0.89
     contests
    0.87
     attempts
    0.84
     career
    0.83
    Activations Density 0.163%

    No Known Activations