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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 12163
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    Explanations

    mentions of something lacking or not meeting a standard, specifically related to adequacy

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of adequacy in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hammer
    -0.78
    dar
    -0.73
    Brow
    -0.69
    da
    -0.69
    âĸ¬
    -0.69
    hou
    -0.69
    dot
    -0.69
    zig
    -0.65
    cow
    -0.65
     Rou
    -0.65
    POSITIVE LOGITS
     adequate
    0.95
     adequately
    0.89
    tarian
    0.85
    mble
    0.84
    intendent
    0.84
     safeguards
    0.83
    xual
    0.83
     punishment
    0.82
    ments
    0.82
     accommodations
    0.81
    Activations Density 0.011%

    No Known Activations