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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. 8-RES-JB
    6. 15345
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    INDEX
    Explanations

    mentions of venues or locations associated with events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific brands or products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     induct
    -0.69
     methodological
    -0.69
     defin
    -0.68
     Dickinson
    -0.68
    anners
    -0.64
    anguage
    -0.63
     procedural
    -0.63
     dissenting
    -0.62
     chamber
    -0.61
     rooting
    -0.61
    POSITIVE LOGITS
    Cola
    1.06
    Benz
    1.04
    France
    1.01
    esque
    0.95
    Sol
    0.95
    Lago
    0.94
    Pal
    0.90
    induced
    0.90
    sama
    0.89
    sized
    0.87
    Activations Density 0.092%

    No Known Activations