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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. 23035
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    INDEX
    Explanations

    mentions of coaches or coaching positions

    oai_token-act-pair · gpt-3.5-turbo

    references to coaching and coaches

    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
     Empires
    -0.75
     Scotia
    -0.70
    INGTON
    -0.66
     Transit
    -0.66
    selves
    -0.63
    ISM
    -0.62
    kees
    -0.61
     RCMP
    -0.60
     consulate
    -0.60
     nationalists
    -0.60
    POSITIVE LOGITS
    ovie
    0.87
    aneers
    0.87
     coaches
    0.85
     coach
    0.83
     coaching
    0.82
    urally
    0.81
    books
    0.80
     coached
    0.80
     Harbaugh
    0.78
    aign
    0.76
    Activations Density 0.071%

    No Known Activations