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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. 7-RES-JB
    6. 3261
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    INDEX
    Explanations

    situations that require action or decisions

    oai_token-act-pair · gpt-3.5-turbo

    elements pertaining to gameplay mechanics and socio-political issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itialized
    -0.65
    osite
    -0.60
     referen
    -0.56
     corrid
    -0.53
     incorpor
    -0.53
     looph
    -0.52
    oret
    -0.52
    iban
    -0.50
    oco
    -0.46
     unpop
    -0.46
    POSITIVE LOGITS
    .
    0.75
    ãĢĤ
    0.73
     attRot
    0.64
    ,''
    0.64
    ?
    0.63
    .?
    0.63
    .'
    0.63
    .—
    0.63
    .''
    0.62
    .(
    0.62
    Activations Density 1.095%

    No Known Activations