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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. 9790
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    oai_token-act-pair · gpt-3.5-turbo
    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
     nonetheless
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     likewise
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    Such
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    itto
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    roo
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    idious
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    these
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    ourke
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     lest
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    utterstock
    -0.65
    POSITIVE LOGITS
     GSL
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     NXT
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     independ
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     Emblem
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    0.64
     roadmap
    0.60
     Ethereum
    0.59
    ORPG
    0.59
     Astral
    0.59
     HDD
    0.58
    Activations Density 1.704%

    No Known Activations