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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. 1-RES-JB
    11. 7439
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    Explanations

    mentions of or references to art and related contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to art-related content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Chiefs
    -0.75
     Utah
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     Sharks
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     Somalia
    -0.65
     Spice
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     Burke
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    POSITIVE LOGITS
    emis
    1.54
    icles
    1.39
    ifacts
    1.28
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    1.26
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    1.18
    Art
    1.14
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    1.04
    isans
    0.98
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    0.97
    icle
    0.96
    Activations Density 0.002%

    No Known Activations