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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. 8-RES-JB
    11. 7132
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    INDEX
    Explanations

    verbal commitments and mentions of recruiting classes in a sports context

    oai_token-act-pair · gpt-3.5-turbo

    terms related to college sports recruiting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     manoeuv
    -0.74
     Bots
    -0.73
    oeuv
    -0.73
     realise
    -0.72
     Luxembourg
    -0.71
     Gest
    -0.71
     Catalonia
    -0.68
     scept
    -0.68
     Synd
    -0.68
     Paradox
    -0.68
    POSITIVE LOGITS
     athletics
    1.26
    keyes
    1.23
     athletic
    1.22
     NCAA
    1.14
     freshman
    1.13
     Baylor
    1.06
     freshmen
    1.04
     scholarships
    1.04
     sophomore
    0.99
     coaches
    0.99
    Activations Density 0.235%

    No Known Activations