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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. 5-RES-JB
    6. 13497
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    INDEX
    Explanations

    proper nouns or names of individuals or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to governmental and organizational entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ..."
    -0.66
     dstg
    -0.64
    âķIJâķIJ
    -0.63
    cult
    -0.61
    chest
    -0.59
    ãĥ¬
    -0.59
    Els
    -0.58
    piring
    -0.58
     monog
    -0.58
     Tibetan
    -0.57
    POSITIVE LOGITS
     countered
    0.94
     recalled
    0.86
     responded
    0.83
     additionally
    0.82
     spokesman
    0.81
     spokeswoman
    0.80
     cautioned
    0.78
     also
    0.77
    anwhile
    0.76
     spokesperson
    0.76
    Activations Density 0.682%

    No Known Activations