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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. 4303
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    Explanations

    text related to educational resources

    oai_token-act-pair · gpt-3.5-turbo

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    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
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    Negative Logits
     milliseconds
    -0.80
    conn
    -0.77
    engeance
    -0.70
     forgiven
    -0.66
    inction
    -0.66
     externalToEVAOnly
    -0.66
     forfeit
    -0.64
     revenge
    -0.64
     unlucky
    -0.64
     comeback
    -0.62
    POSITIVE LOGITS
     guides
    1.24
     informative
    1.06
     Guides
    1.04
     guide
    1.03
     appendix
    0.99
    endium
    0.99
    guide
    0.98
     Guide
    0.97
     instructional
    0.97
     pdf
    0.94
    Activations Density 0.483%

    No Known Activations