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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. 11506
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    parentheses or closing punctuation marks in the document

    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
    frog
    -0.67
    products
    -0.63
    users
    -0.62
    sembly
    -0.61
     cloves
    -0.61
    Ń·
    -0.60
     domestically
    -0.60
     sails
    -0.60
     burner
    -0.59
     spam
    -0.59
    POSITIVE LOGITS
    Actor
    0.76
    Madison
    0.74
    Associated
    0.72
     ILCS
    0.71
    Original
    0.71
    htaking
    0.69
    Correct
    0.69
    TAG
    0.68
    Letter
    0.67
    Ev
    0.67
    Activations Density 0.096%

    No Known Activations