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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. 8-RES-JB
    11. 11292
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    technical terms and jargon related to products or components

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    姫
    -0.73
    Rail
    -0.63
    ilers
    -0.63
    etime
    -0.62
    POSE
    -0.60
     msec
    -0.59
    stad
    -0.58
    EStreamFrame
    -0.57
    Bal
    -0.56
    gar
    -0.56
    POSITIVE LOGITS
    matically
    0.85
    lessly
    0.70
     (£
    0.65
    cum
    0.64
    lete
    0.63
    izes
    0.59
     nicknamed
    0.59
    antly
    0.59
    ifies
    0.58
    ortium
    0.58
    Activations Density 0.707%

    No Known Activations