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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. 9-RES-JB
    6. 1921
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    Explanations

    phrases where a quoted statement is mentioned

    oai_token-act-pair · gpt-3.5-turbo

    quotation marks and brackets indicating speech or citation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Woody
    -0.70
     Lin
    -0.69
     Beg
    -0.64
     Tart
    -0.62
     pitch
    -0.62
     Man
    -0.62
     stiff
    -0.62
     minor
    -0.61
     Victory
    -0.61
     Columbus
    -0.59
    POSITIVE LOGITS
    without
    1.63
    because
    1.54
    against
    1.53
    with
    1.48
    during
    1.45
    within
    1.44
    into
    1.43
    whose
    1.40
    until
    1.38
    before
    1.38
    Activations Density 0.226%

    No Known Activations