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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. 10-RES-JB
    11. 5937
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    phrases related to decision-making and evaluation

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to decision-making and evaluation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Torrent
    -0.64
     Giants
    -0.61
     Boone
    -0.59
     whirlwind
    -0.59
     NAACP
    -0.59
     Bron
    -0.58
     Archie
    -0.57
     BART
    -0.57
     consolation
    -0.56
     Ravens
    -0.54
    POSITIVE LOGITS
    .</
    0.98
    .''.
    0.90
    ibly
    0.89
     anymore
    0.81
    acceptable
    0.80
    .?
    0.80
    worthiness
    0.80
     or
    0.80
    *.
    0.79
    .�
    0.77
    Activations Density 1.103%

    No Known Activations