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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. 7-RES-JB
    11. 18045
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    Explanations

    mentions of meat-related terms, including the word "meat" itself and related concepts like meat production, consumption, and alternatives

    oai_token-act-pair · gpt-3.5-turbo

    references to meat and its consumption

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Telecommunications
    -0.71
     Morse
    -0.68
    ordinate
    -0.68
     Polaris
    -0.67
     Spac
    -0.67
     MacArthur
    -0.66
    ilts
    -0.63
    ipolar
    -0.62
     Dres
    -0.61
     Powers
    -0.60
    POSITIVE LOGITS
    balls
    1.30
    lo
    0.98
    skin
    0.97
    meat
    0.93
    heads
    0.93
    ball
    0.92
    bowl
    0.91
    packing
    0.90
     eater
    0.90
     slic
    0.90
    Activations Density 0.024%

    No Known Activations