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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 1452
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    Explanations

    keywords related to technology products, specifically related to Amazon's Fire products

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Fire" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.97
    ļéĨĴ
    -0.78
    Ń·
    -0.77
    atem
    -0.76
     fixme
    -0.72
    terday
    -0.71
    berra
    -0.71
     versa
    -0.69
    ansen
    -0.68
    aunder
    -0.67
    POSITIVE LOGITS
    flies
    1.08
    fighter
    0.96
     Fire
    0.93
    wolf
    0.90
    fighters
    0.88
    storm
    0.86
     Emblem
    0.85
     Explos
    0.83
    onica
    0.82
    bats
    0.81
    Activations Density 0.010%

    No Known Activations