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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
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    Explanations

    words related to the term "mac", which could refer to various subjects such as macaque monkeys, macaroni, Macbeth, and more

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "mac" or "MAC," indicating a focus on macronutrients or related topics

    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
    INESS
    -0.86
     Duty
    -0.70
     Transparency
    -0.70
    uations
    -0.68
     Ranking
    -0.66
     Vol
    -0.66
    VP
    -0.66
    ucker
    -0.65
     Vall
    -0.65
     Investor
    -0.65
    POSITIVE LOGITS
     mac
    3.97
    mac
    1.97
     Mac
    1.83
    Mac
    1.80
    MAC
    1.77
     MAC
    1.73
     Macintosh
    1.24
     macros
    1.12
     MacBook
    1.08
     monkeys
    1.07
    Activations Density 0.017%

    No Known Activations