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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 10964
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    concepts related to personal preferences and ideal conditions

    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
     pestic
    -0.50
    ADVERTISEMENT
    -0.47
    ":[{"
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     compr
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     behavi
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    resents
    -0.44
    hang
    -0.44
     blight
    -0.44
    ãĢİ
    -0.44
     commod
    -0.43
    POSITIVE LOGITS
    .)
    2.42
    .")
    2.40
    .).
    2.35
     .)
    2.35
    ').
    2.30
    ?).
    2.22
    !).
    2.22
    .),
    2.21
    )."
    2.19
    !)
    2.16
    Activations Density 1.151%

    No Known Activations