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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. 9-RES-JB
    11. 13458
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    Explanations

    terms related to sports statistics and performance

    oai_token-act-pair · gpt-3.5-turbo

    repeated tokens that likely indicate text formatting or structural markers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -1.01
    agine
    -0.61
    schild
    -0.57
     Quartz
    -0.57
    Prin
    -0.55
    izoph
    -0.54
    bara
    -0.53
     Faw
    -0.53
     umb
    -0.53
     paran
    -0.52
    POSITIVE LOGITS
     playoff
    0.97
     playoffs
    0.96
     Playoffs
    0.95
     goalkeeper
    0.92
     scoring
    0.91
     Playoff
    0.90
     league
    0.90
     scorer
    0.90
     defenseman
    0.89
     preseason
    0.88
    Activations Density 0.991%

    No Known Activations