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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    seafood-related terms, specifically focusing on crab and shrimp

    oai_token-act-pair · gpt-3.5-turbo

    mentions of seafood, particularly crabs and shrimp

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

    No Comments

    Negative Logits
    mberg
    -0.83
     Quadro
    -0.79
    chool
    -0.77
    iquid
    -0.76
    iator
    -0.73
    iever
    -0.71
    ements
    -0.70
     Fein
    -0.70
    oaded
    -0.69
     Helsinki
    -0.69
    POSITIVE LOGITS
    meat
    1.06
    apple
    1.00
    tree
    0.99
     crabs
    0.91
     crab
    0.91
     Crab
    0.90
    bing
    0.89
    butt
    0.87
    fish
    0.85
    cake
    0.83
    Activations Density 0.011%

    No Known Activations