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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 10689
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    INDEX
    Explanations

    mentions of statistical information and numerical values

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical data and numerical information

    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
    itsch
    -0.73
     sensibilities
    -0.72
     surroundings
    -0.71
    Stretch
    -0.68
     Liberties
    -0.66
     Dew
    -0.63
    cheat
    -0.63
     arrogance
    -0.63
    quickShipAvailable
    -0.60
     Wrestling
    -0.60
    POSITIVE LOGITS
     registrations
    1.05
     backlog
    1.00
     annually
    0.93
    eligible
    0.93
    pleted
    0.91
     completed
    0.89
     births
    0.89
     eligible
    0.87
     approvals
    0.85
     surveyed
    0.82
    Activations Density 0.586%

    No Known Activations