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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. 5556
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    Explanations

    proper names or unique identifiers in the text

    oai_token-act-pair · gpt-3.5-turbo

    names or identifiers, possibly of people or entities

    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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    Negative Logits
     envy
    -0.64
     ambassadors
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     Subaru
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    ··
    -0.60
     cubes
    -0.59
     Euph
    -0.58
     bud
    -0.55
     territorial
    -0.55
     Emblem
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    POSITIVE LOGITS
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    1.19
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    1.11
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    1.11
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    1.09
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    1.09
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    1.08
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    1.06
    Activations Density 0.230%

    No Known Activations