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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. 693
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    Explanations

    places, objects, or concepts that can be located or obtained

    oai_token-act-pair · gpt-3.5-turbo

    words related to the occurrence and distribution of various entities or concepts

    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
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    Negative Logits
    avanaugh
    -0.64
    API
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    UI
    -0.54
    ede
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    OME
    -0.53
    render
    -0.53
     blur
    -0.53
    po
    -0.52
    ICO
    -0.51
    yright
    -0.51
    POSITIVE LOGITS
     outdoors
    0.98
     everywhere
    0.93
     indoors
    0.89
    aturdays
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    0.81
     anywhere
    0.80
     toget
    0.80
     worldwide
    0.79
     domestically
    0.78
    Activations Density 0.360%

    No Known Activations