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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. 17094
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    Explanations

    specific mentions of articles, publications, and editorials

    oai_token-act-pair · gpt-3.5-turbo

    references to articles and publications

    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
     gestures
    -0.79
     deployments
    -0.76
     rehe
    -0.71
    roo
    -0.71
    agree
    -0.70
     arming
    -0.68
     unlocking
    -0.66
    zees
    -0.66
    zik
    -0.65
    iors
    -0.65
    POSITIVE LOGITS
     newspapers
    1.35
    Journal
    1.25
     newspaper
    1.20
     Newspaper
    1.13
     Weekly
    1.13
     magazine
    1.10
     Daily
    1.09
     Chronicle
    1.08
     Magazine
    1.04
     Huffington
    1.03
    Activations Density 0.325%

    No Known Activations