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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. 7-RES-JB
    11. 3035
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    INDEX
    Explanations

    instances of subtle changes or differences in a situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing minor changes or differences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mberg
    -0.79
    rights
    -0.74
    halla
    -0.70
     Journals
    -0.67
    arters
    -0.67
    ilater
    -0.67
    ICLE
    -0.66
    kamp
    -0.66
    CDC
    -0.66
    aders
    -0.65
    POSITIVE LOGITS
     exaggeration
    0.95
     annoyance
    0.92
     uptick
    0.87
     resemblance
    0.87
     hint
    0.86
     hesitation
    0.84
     breeze
    0.84
     deviation
    0.83
     easing
    0.83
     slight
    0.82
    Activations Density 0.034%

    No Known Activations