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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. 9-RES-JB
    11. 3166
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    elements related to web links and URLs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    pora
    -0.88
    conservancy
    -0.72
     tapes
    -0.68
     Esper
    -0.68
    asca
    -0.67
     Elves
    -0.65
     whisky
    -0.65
    Downloadha
    -0.65
    inki
    -0.64
    wives
    -0.64
    POSITIVE LOGITS
    ></
    1.19
    "></
    1.14
     width
    1.08
    ">
    1.05
    ":"","
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    widget
    1.02
    align
    1.01
    "><
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    ][/
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    Activations Density 0.124%

    No Known Activations