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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. 6-RES-JB
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    Explanations

    scores of sport games

    oai_token-act-pair · gpt-3.5-turbo

    numerical scores and statistics in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arya
    -0.81
    yna
    -0.67
    yan
    -0.65
    oras
    -0.64
     subp
    -0.64
    aries
    -0.64
    lest
    -0.64
    oresc
    -0.63
    ellen
    -0.61
    risk
    -0.60
    POSITIVE LOGITS
    mph
    0.84
     overtime
    0.78
     mph
    0.78
     halftime
    0.72
     MPH
    0.71
     (.
    0.65
     Concord
    0.64
     FG
    0.63
    ãĤ´ãĥ³
    0.62
     opponent
    0.61
    Activations Density 0.079%

    No Known Activations