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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. 7-RES-JB
    11. 17823
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    Explanations

    information related to sports, particularly baseball and hockey

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to sports performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.93
     Faw
    -0.72
    abus
    -0.70
    indust
    -0.66
     pupp
    -0.63
     Forbidden
    -0.63
    Prin
    -0.62
    schild
    -0.62
     labs
    -0.62
     umb
    -0.61
    POSITIVE LOGITS
     playoff
    1.15
     Playoffs
    1.10
     scoring
    1.09
     quarterback
    1.08
     Playoff
    1.07
     defenseman
    1.06
     playoffs
    1.04
     Orioles
    1.03
     postseason
    1.01
     cornerback
    0.99
    Activations Density 1.238%

    No Known Activations