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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. 23609
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    Explanations

    keywords related to college recruiting, such as 'recruits', 'classes', and 'commitments'

    oai_token-act-pair · gpt-3.5-turbo

    terms related to college athletics recruitment

    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
    oeuv
    -0.89
    orah
    -0.80
    riber
    -0.71
    rage
    -0.70
    sth
    -0.69
    pots
    -0.68
    pread
    -0.68
    pour
    -0.67
     Container
    -0.67
    row
    -0.67
    POSITIVE LOGITS
     athletic
    1.07
     NCAA
    1.03
     freshman
    1.00
     athletics
    1.00
     coaches
    0.98
    Football
    0.92
     Athletic
    0.92
     freshmen
    0.91
    Coach
    0.90
     postseason
    0.89
    Activations Density 0.134%

    No Known Activations