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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. 6-RES-JB
    6. 1201
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    Explanations

    keywords related to societal issues and cultural contexts

    oai_token-act-pair · gpt-3.5-turbo

    themes related to social issues and relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Legislative
    -0.63
     Salvador
    -0.62
     Governors
    -0.61
     Gut
    -0.58
     Democr
    -0.57
     Lauder
    -0.57
     Pir
    -0.57
     CNS
    -0.57
    ï¸
    -0.55
     Fitz
    -0.54
    POSITIVE LOGITS
    ?).
    0.90
    .).
    0.85
    >.
    0.85
    !).
    0.82
    !".
    0.80
     ensued
    0.79
     thereof
    0.79
     exists
    0.77
     ain
    0.77
    '.
    0.76
    Activations Density 0.916%

    No Known Activations