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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. 11-RES-JB
    6. 21274
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    INDEX
    Explanations

    locations and numbers related to disasters

    oai_token-act-pair · gpt-3.5-turbo

    mentions of statistics and reports related to casualties and fatalities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    constitutional
    -0.74
    rawdownloadcloneembedreportprint
    -0.73
    Favorite
    -0.70
    govtrack
    -0.68
    BILL
    -0.67
    ophers
    -0.67
    FN
    -0.67
    isites
    -0.66
    bill
    -0.65
    Meet
    -0.64
    POSITIVE LOGITS
     eyewitness
    1.07
     casualty
    1.00
     rescue
    0.99
     blamed
    0.96
     tweeted
    0.96
     spokesman
    0.93
     helicopters
    0.93
     ambul
    0.92
     evacuated
    0.92
     evacuate
    0.91
    Activations Density 0.402%

    No Known Activations