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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. 9-RES-JB
    11. 4875
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    Explanations

    repetitive instances of the word "could"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "could" indicating potential or ability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pires
    -0.69
     Updated
    -0.67
     Balanced
    -0.67
    balls
    -0.63
    core
    -0.62
    furt
    -0.62
    icial
    -0.61
    theless
    -0.61
     Ages
    -0.60
     Dia
    -0.57
    POSITIVE LOGITS
     feas
    1.27
     conce
    1.14
     afford
    1.08
     possibly
    0.97
    nt
    0.95
     theoretically
    0.95
    've
    0.94
     easily
    0.93
     muster
    0.91
    cffffcc
    0.87
    Activations Density 0.097%

    No Known Activations