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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. 20420
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    Explanations

    words related to basketball plays and skills

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to performance and effectiveness in sports

    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
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    No Comments

    Negative Logits
    wark
    -0.78
    wcsstore
    -0.75
    ensis
    -0.74
    indust
    -0.72
    xtap
    -0.72
    obook
    -0.71
     Canaver
    -0.70
    tymology
    -0.69
     Vest
    -0.68
     ItemLevel
    -0.67
    POSITIVE LOGITS
     turnovers
    1.45
     interceptions
    1.37
     shots
    1.31
     passes
    1.29
     plays
    1.27
     baskets
    1.24
     opportunities
    1.24
     rebounds
    1.23
     penalties
    1.22
     balls
    1.19
    Activations Density 0.231%

    No Known Activations