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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. 20060
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    INDEX
    Explanations

    mentions of progress or advancement

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of progression or advancement

    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
     Kiss
    -0.65
    ãĥĩãĤ£
    -0.65
    sey
    -0.64
    Bush
    -0.62
    olicited
    -0.62
    asel
    -0.62
     clerk
    -0.61
    ****************
    -0.61
    arling
    -0.61
    azo
    -0.61
    POSITIVE LOGITS
    iferation
    1.06
     progression
    1.01
    ments
    0.86
     progresses
    0.77
    onential
    0.77
     progressed
    0.75
     Tone
    0.75
     advancement
    0.75
     towards
    0.75
    ivism
    0.73
    Activations Density 0.017%

    No Known Activations