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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. 6-RES-JB
    11. 9386
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    INDEX
    Explanations

    dates and locations in which publications occurred

    oai_token-act-pair · gpt-3.5-turbo

    references to publication and authorship details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rious
    -0.79
    itialized
    -0.78
     airflow
    -0.73
    anka
    -0.71
    gage
    -0.71
    ileged
    -0.70
    zik
    -0.67
    rendered
    -0.63
    witch
    -0.62
    stem
    -0.62
    POSITIVE LOGITS
    DragonMagazine
    0.93
     newspapers
    0.91
    çīĪ
    0.85
    Else
    0.83
     journals
    0.82
     Tribune
    0.82
     Else
    0.81
     Proceedings
    0.77
     paperback
    0.77
    published
    0.75
    Activations Density 0.165%

    No Known Activations