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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. 6520
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    Explanations

    references to photographs or images

    oai_token-act-pair · gpt-3.5-turbo

    mentions of photographs or photo-related content

    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
    othal
    -0.65
    pire
    -0.64
    igslist
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    urnal
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    pires
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    rete
    -0.55
    omore
    -0.55
     snowball
    -0.55
     creep
    -0.55
    pired
    -0.54
    POSITIVE LOGITS
    /)
    0.83
    /
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     Agency
    0.69
    /_
    0.68
    /-
    0.68
     IMAGES
    0.66
     toggle
    0.65
     Votes
    0.63
    emale
    0.63
    /
    0.62
    Activations Density 0.037%

    No Known Activations