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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. 11715
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    Explanations

    references to sports games and championships

    oai_token-act-pair · gpt-3.5-turbo

    references to sports championships or titles

    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
     Gael
    -0.75
    berra
    -0.74
    dit
    -0.71
     Acceler
    -0.69
    irit
    -0.68
    xual
    -0.67
     quar
    -0.66
     Gork
    -0.64
     Erit
    -0.64
    iffe
    -0.63
    POSITIVE LOGITS
     playoffs
    1.45
     postseason
    1.39
     playoff
    1.38
     Playoffs
    1.37
     Finals
    1.33
     Playoff
    1.27
     championship
    1.19
    LCS
    1.13
     Stanley
    1.09
     NFC
    1.05
    Activations Density 0.214%

    No Known Activations