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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. 9385
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    Explanations

    numbers related to sports statistics

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to numerical statistics and scoring in competitive contexts

    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
     Scand
    -0.63
    amacare
    -0.62
    rices
    -0.61
    alez
    -0.61
    fulness
    -0.61
     coh
    -0.60
    acea
    -0.57
    requency
    -0.57
    umption
    -0.56
    idon
    -0.55
    POSITIVE LOGITS
     shy
    1.18
     behind
    1.15
     short
    0.93
     ahead
    0.92
     Behind
    0.80
    ahead
    0.78
    behind
    0.75
    OVER
    0.73
     advant
    0.73
     Ahead
    0.72
    Activations Density 0.155%

    No Known Activations