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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. 12784
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    INDEX
    Explanations

    specific keywords or phrases that are capitalized and often related to actions, events, or titles

    oai_token-act-pair · gpt-3.5-turbo

    prominent keywords or phrases that signify notable actions or subjects

    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
     ..."
    -0.61
    .","
    -0.54
     \"
    -0.53
     ''
    -0.52
     �
    -0.52
     thereto
    -0.49
     ...
    -0.49
    .</
    -0.48
     ``(
    -0.47
     otherwise
    -0.45
    POSITIVE LOGITS
    resa
    0.90
    odore
    0.83
    xiety
    0.72
    bidden
    0.68
    notations
    0.68
    tymology
    0.68
    jamin
    0.67
    ibliography
    0.65
    foundland
    0.64
    mosp
    0.63
    Activations Density 0.816%

    No Known Activations