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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. 2-RES-JB
    11. 3535
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    Explanations

    moments or significant events

    oai_token-act-pair · gpt-3.5-turbo

    references to significant moments in time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LCS
    -0.80
     Springer
    -0.73
    emale
    -0.72
    otten
    -0.70
    Steel
    -0.70
    ä¸Ĭ
    -0.69
    EVA
    -0.69
    ellow
    -0.69
    CAST
    -0.68
    uct
    -0.67
    POSITIVE LOGITS
    aneously
    1.06
     moment
    1.00
    ary
    0.93
     gratification
    0.92
     moments
    0.87
     Moment
    0.85
     Moments
    0.85
    aries
    0.79
    arily
    0.79
    ously
    0.79
    Activations Density 0.017%

    No Known Activations