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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. 17352
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    Explanations

    phrases indicating a shift in emotion or behavior, often involving hesitation or conflict

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "at" indicating specific moments or locations in the text

    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
    gans
    -0.71
    eria
    -0.70
    hash
    -0.69
     benefited
    -0.64
    izo
    -0.63
    forth
    -0.63
    hunt
    -0.63
    Iterator
    -0.62
    uable
    -0.62
    netic
    -0.62
    POSITIVE LOGITS
     times
    1.18
     halftime
    1.02
     least
    0.96
    onement
    0.94
     funer
    0.90
     intervals
    0.90
     dusk
    0.89
     midday
    0.88
     intersections
    0.83
     nighttime
    0.82
    Activations Density 0.145%

    No Known Activations