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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. 22213
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    Explanations

    parentheses indicating thoughts or additional information

    oai_token-act-pair · gpt-3.5-turbo

    the use of parentheses in text

    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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    No Comments

    Negative Logits
     lodge
    -0.81
     flow
    -0.79
     clin
    -0.74
     advanced
    -0.74
     daily
    -0.73
     wildlife
    -0.73
     secured
    -0.72
     residential
    -0.71
     millenn
    -0.71
     retreat
    -0.71
    POSITIVE LOGITS
    although
    1.92
    especially
    1.88
    unless
    1.88
    sorry
    1.86
    though
    1.80
    except
    1.77
    albeit
    1.74
    remember
    1.71
    maybe
    1.70
    even
    1.69
    Activations Density 0.113%

    No Known Activations