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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. 11-RES-JB
    11. 23060
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    Explanations

    verbs related to cognitive processes or mental activities

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to thought, learning, communication, and creativity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interstitial
    -0.79
    76561
    -0.77
    irus
    -0.65
    Loading
    -0.63
     href
    -0.62
    ammy
    -0.62
    ouple
    -0.62
    tained
    -0.60
     tipped
    -0.60
    ãĥĨ
    -0.60
    POSITIVE LOGITS
     responsibly
    1.34
     wisely
    1.19
     efficiently
    1.08
     freely
    1.01
     passionately
    0.95
     boldly
    0.95
     differently
    0.94
     diligently
    0.92
     excellence
    0.92
     smarter
    0.92
    Activations Density 0.410%

    No Known Activations