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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. 18300
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    INDEX
    Explanations

    phrases related to specific events or actions in a structured format akin to news headlines

    oai_token-act-pair · gpt-3.5-turbo

    references to specific events or actions tied to military or investigative themes

    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
    âĢ
    -0.76
     âĢ
    -0.73
    ãĢį
    -0.73
    ãĢ
    -0.70
    AMY
    -0.69
     --------
    -0.68
     ðŁij
    -0.66
    âĿ
    -0.65
    another
    -0.63
    ô
    -0.63
    POSITIVE LOGITS
     brut
    0.64
     landfill
    0.60
     rubbish
    0.56
     outlandish
    0.55
     cramped
    0.55
     impractical
    0.54
     660
    0.54
     genitals
    0.53
     brute
    0.52
     postage
    0.52
    Activations Density 1.282%

    No Known Activations