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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. 88
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    Explanations

    descriptions of physical characteristics and materials

    oai_token-act-pair · gpt-3.5-turbo

    specific materials and their properties

    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
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    odcast
    -0.67
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    Goal
    -0.66
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    POSITIVE LOGITS
     polish
    1.26
     finish
    1.25
     stain
    1.25
     coating
    1.21
     Finish
    1.20
     matte
    1.19
     finishes
    1.14
     Matte
    1.10
     engraved
    1.09
     polished
    1.09
    Activations Density 0.383%

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