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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. 5-RES-JB
    6. 8623
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    Explanations

    instances where the document discusses different aspects of race, history, or physical materials

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various contexts, indicating connections between concepts or items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    :[
    -0.83
    :(
    -0.78
    omi
    -0.72
    ummer
    -0.71
    ":""},{"
    -0.70
     "$:/
    -0.69
    actory
    -0.68
    ([
    -0.67
    éŃĶ
    -0.67
    ":[
    -0.65
    POSITIVE LOGITS
     other
    0.85
     consequently
    0.74
    /
    0.74
     assorted
    0.73
     hence
    0.73
    rogens
    0.72
     therefore
    0.70
     vice
    0.70
     thus
    0.70
    rogen
    0.68
    Activations Density 0.664%

    No Known Activations