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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 7115
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    INDEX
    Explanations

    phrases related to writings or media such as posts, studies, surveys, rap videos, reviews, and campaigns

    oai_token-act-pair · gpt-3.5-turbo

    substantial mentions of studies, posts, and analyses regarding various topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iths
    -0.74
     fame
    -0.74
     olds
    -0.73
    Redd
    -0.72
    assies
    -0.71
     establishments
    -0.69
     cabinets
    -0.69
     occupants
    -0.68
     formations
    -0.68
    rooms
    -0.67
    POSITIVE LOGITS
     spokesperson
    0.96
    ccording
    0.96
     spokeswoman
    0.89
     spokesman
    0.84
     staffer
    0.76
     researcher
    0.74
    uthor
    0.73
    fter
    0.71
     example
    0.71
     Called
    0.70
    Activations Density 0.907%

    No Known Activations