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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. 0-RES-JB
    11. 7638
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    INDEX
    Explanations

    mentions of specific words/phrases (e.g., "Chance," "Gavilon," "lonal") without a clear thematic pattern

    oai_token-act-pair · gpt-3.5-turbo

    references to opportunities and chances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orest
    -0.75
    review
    -0.72
     extraction
    -0.67
    arag
    -0.67
     grips
    -0.67
    izable
    -0.64
     complied
    -0.64
     fundamentals
    -0.63
     bog
    -0.62
     Lilly
    -0.61
    POSITIVE LOGITS
     Chance
    3.73
    Chance
    3.45
    chance
    2.72
     Chambers
    1.07
     Reich
    1.05
    onal
    1.05
     Chancellor
    1.03
     Hazard
    1.01
    ilon
    1.00
     Gau
    0.98
    Activations Density 0.029%

    No Known Activations