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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 13101
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    INDEX
    Explanations

    superlatives or descriptions indicating the highest quality or ranking

    oai_token-act-pair · gpt-3.5-turbo

    expressions that identify top or significant performers or entities in various contexts

    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
    matter
    -0.79
    ope
    -0.77
    crow
    -0.73
    aker
    -0.73
    onto
    -0.72
    keleton
    -0.71
    rium
    -0.71
    otto
    -0.70
    alion
    -0.69
    gow
    -0.68
    POSITIVE LOGITS
     professions
    1.05
     pillars
    1.02
     avenues
    1.02
     facets
    0.96
     inventions
    0.95
     aspects
    0.95
     examples
    0.94
     topics
    0.92
     constants
    0.92
     fronts
    0.92
    Activations Density 0.149%

    No Known Activations