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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. 3563
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    INDEX
    Explanations

    numerical statistics related to sports performance, specifically focusing on goals scored

    oai_token-act-pair · gpt-3.5-turbo

    references to scoring achievements in sports

    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
     Tycoon
    -0.75
    amination
    -0.73
    OV
    -0.68
    ŀ
    -0.68
     Veter
    -0.68
    Vel
    -0.67
    OS
    -0.67
    TI
    -0.67
    Compan
    -0.66
    CV
    -0.66
    POSITIVE LOGITS
    hooting
    1.06
    omething
    0.93
    heet
    0.87
    uggest
    0.87
    etting
    0.86
    poons
    0.85
    igmatic
    0.84
    ettings
    0.81
    etter
    0.81
     challeng
    0.81
    Activations Density 0.021%

    No Known Activations