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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. 11721
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    Explanations

    phrases indicating ease and no hassle in relation to performing tasks

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating ease of use or simplicity

    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
    -0.74
    ilyn
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     Retrieved
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    amide
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    cyclopedia
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    abre
    -0.61
    onde
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    enge
    -0.61
    iru
    -0.60
    uary
    -0.60
    POSITIVE LOGITS
     just
    1.70
    just
    1.56
     merely
    1.44
     JUST
    1.40
     Just
    1.40
     simply
    1.35
    Just
    1.30
     Simply
    1.00
    Simply
    0.96
     only
    0.94
    Activations Density 0.483%

    No Known Activations