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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. 10-RES-JB
    6. 16811
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    INDEX
    Explanations

    words related to written communication or documents

    oai_token-act-pair · gpt-3.5-turbo

    references to specific letters or correspondence in a variety of contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rises
    -0.71
    orsi
    -0.68
    rolet
    -0.66
    eger
    -0.66
    issan
    -0.66
    alon
    -0.65
     CCTV
    -0.63
     STATS
    -0.62
    ESCO
    -0.61
     Occupations
    -0.60
    POSITIVE LOGITS
    press
    1.07
    boxing
    0.96
    Letter
    0.93
    letter
    0.93
    box
    0.91
    boxes
    0.87
     addressed
    0.86
    head
    0.85
    velop
    0.85
    sworth
    0.84
    Activations Density 0.032%

    No Known Activations