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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. 4662
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    Explanations

    people speaking or gesturing in a public setting or to the media

    oai_token-act-pair · gpt-3.5-turbo

    actions performed during speeches or press conferences

    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
    fuck
    -0.77
    lords
    -0.70
    Sov
    -0.66
    Ultimately
    -0.65
    olar
    -0.64
    fi
    -0.62
    ÙĦ
    -0.62
    anger
    -0.61
    Already
    -0.60
    Need
    -0.60
    POSITIVE LOGITS
    window
    0.94
     gestures
    0.81
     onstage
    0.76
     during
    0.76
     flanked
    0.75
     REUTERS
    0.72
    reenshot
    0.72
     celebrate
    0.71
     portraits
    0.70
     reacts
    0.69
    Activations Density 0.128%

    No Known Activations