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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. 7-RES-JB
    6. 15540
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    Explanations

    organizations or government agencies

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of government or regulatory agency names, particularly in relation to alcohol, firearms, and economic topics

    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
    auga
    -0.82
    gow
    -0.77
    borgh
    -0.76
    paces
    -0.70
    piece
    -0.68
    rises
    -0.65
    warts
    -0.65
     certs
    -0.65
    osaurus
    -0.63
    iour
    -0.62
    POSITIVE LOGITS
     Statistics
    0.95
     Investigation
    0.91
     Statistical
    0.85
     Consumer
    0.83
     Alcohol
    0.83
     Standards
    0.80
    ãĥĥãĥĪ
    0.79
     Investigative
    0.79
     Forestry
    0.77
     Interactive
    0.76
    Activations Density 0.034%

    No Known Activations