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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. 3-RES-JB
    11. 24391
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    Explanations

    keywords related to sports, particularly those related to scoring points or goals, talents, players and positions in various sports

    oai_token-act-pair · gpt-3.5-turbo

    references to athletes and their performance attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ombat
    -0.85
    waters
    -0.72
     Lunar
    -0.68
    sex
    -0.66
    mission
    -0.65
    zhou
    -0.65
    quit
    -0.64
     Hear
    -0.64
    andel
    -0.63
    lar
    -0.63
    POSITIVE LOGITS
     scorer
    0.91
     drafted
    0.83
     undrafted
    0.81
     rookie
    0.80
     scouts
    0.79
     defender
    0.79
     rookies
    0.78
     signings
    0.78
     whis
    0.77
     defenders
    0.77
    Activations Density 0.125%

    No Known Activations