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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. 12966
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    INDEX
    Explanations

    examples, highlights, or important details

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating examples or lists of items

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    fecture
    -0.77
    undle
    -0.76
    akery
    -0.75
    livion
    -0.74
    iosity
    -0.71
    ifice
    -0.70
    same
    -0.69
    culosis
    -0.68
    etz
    -0.68
    ardless
    -0.68
    POSITIVE LOGITS
     examples
    1.33
     highlights
    1.12
     pointers
    1.11
     excerpts
    1.07
     ways
    1.02
     notable
    1.00
     suggestions
    0.99
     illust
    0.99
     observations
    0.98
     noteworthy
    0.98
    Activations Density 0.125%

    No Known Activations