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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. 0-RES-JB
    11. 623
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    Explanations

    numerical statistics related to sports, specifically assists and rebounds

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to assists and rebounds in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icol
    -0.75
    lot
    -0.66
    ub
    -0.65
    jit
    -0.64
     smell
    -0.64
    cale
    -0.62
    ivil
    -0.60
    ivated
    -0.60
    endment
    -0.59
    pic
    -0.59
    POSITIVE LOGITS
     assists
    3.53
     rebounds
    1.83
     assist
    1.76
     aids
    1.51
     steals
    1.45
     Assist
    1.42
     assisted
    1.40
     assisting
    1.33
    assisted
    1.31
     helpers
    1.25
    Activations Density 0.013%

    No Known Activations