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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. 23794
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    Explanations

    capitalized words in the format ĊWORDĊ

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or actions

    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
    âĢIJ
    -1.20
     [âĢ¦]
    -0.96
     ÂŃ
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    ortunately
    -0.76
    ————————
    -0.76
     eleph
    -0.75
    eatures
    -0.73
     tremend
    -0.73
    Advertisements
    -0.72
     destro
    -0.71
    POSITIVE LOGITS
     --
    1.50
    JUST
    1.17
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    1.14
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    --
    1.14
     �
    1.10
     `
    1.07
     ``
    1.01
    .--
    0.99
     ..."
    0.99
    Activations Density 0.093%

    No Known Activations