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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. 8760
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    Explanations

    numerous instances of text mentioning submitting letters to editors

    oai_token-act-pair · gpt-3.5-turbo
    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
    Ĥª
    -0.61
     indo
    -0.58
     MV
    -0.57
     MN
    -0.56
    IENT
    -0.56
     Boys
    -0.54
    PASS
    -0.54
     Mund
    -0.54
    ------------------------------------------------
    -0.53
     Cind
    -0.53
    POSITIVE LOGITS
    letters
    0.72
    Journal
    0.68
    ibrarian
    0.64
     inacc
    0.62
    Correct
    0.62
    Correction
    0.62
    flat
    0.62
    gha
    0.61
    mbudsman
    0.60
     editors
    0.60
    Activations Density 0.071%

    No Known Activations