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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. 5659
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    Explanations

    mentions of technical details or product specifications

    oai_token-act-pair · gpt-3.5-turbo

    references to product specifications and technical details

    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
    astical
    -0.67
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    Politics
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    -0.61
    Guest
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    Govern
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    sent
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    POSITIVE LOGITS
     coil
    1.08
     coils
    1.08
     acrylic
    1.08
     ceramic
    1.04
     aluminum
    1.04
     crochet
    1.03
     zipper
    1.02
     stainless
    1.02
     adjustable
    1.02
     tubes
    1.02
    Activations Density 0.626%

    No Known Activations