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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. 10-RES-JB
    11. 4719
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    Explanations

    the word "error," usually at different strengths

    oai_token-act-pair · gpt-3.5-turbo

    references related to neutrons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    creen
    -0.73
    SHIP
    -0.70
    ãĥ¼ãĥĨãĤ£
    -0.68
    edia
    -0.67
     Winds
    -0.65
     Flake
    -0.64
     Bengal
    -0.62
     Sands
    -0.62
    done
    -0.59
     couch
    -0.57
    POSITIVE LOGITS
    ains
    1.18
    uder
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    atically
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    asonic
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    acy
    1.09
    usted
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    aces
    1.08
    aced
    1.08
    itionally
    1.08
    ading
    1.08
    Activations Density 0.033%

    No Known Activations