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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. 16899
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    INDEX
    Explanations

    phrases indicating important consequences or impacts

    oai_token-act-pair · gpt-3.5-turbo

    statements about consequences or effects

    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
    fighters
    -0.75
    MQ
    -0.72
    cop
    -0.70
    cker
    -0.68
    fred
    -0.68
    bug
    -0.66
    few
    -0.66
    ced
    -0.66
    bows
    -0.66
    VERSION
    -0.65
    POSITIVE LOGITS
     implications
    0.89
     beyond
    0.84
    romeda
    0.82
     ramifications
    0.81
    ogene
    0.76
    uality
    0.71
     arising
    0.71
    afety
    0.69
     ripple
    0.68
     consequential
    0.67
    Activations Density 0.053%

    No Known Activations