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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. 16694
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    Explanations

    references to academic institutions and publications

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and formatting symbols

    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
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -0.83
    cius
    -0.80
     footing
    -0.74
    ecause
    -0.73
     citiz
    -0.70
     proport
    -0.70
    cffff
    -0.69
    hement
    -0.69
    senal
    -0.66
     dictated
    -0.65
    POSITIVE LOGITS
    ↵
    0.74
    âĵĺ
    0.73
    ³³³
    0.67
    Catalog
    0.65
    à¦
    0.64
    idable
    0.63
    Els
    0.63
    Chel
    0.62
    Episode
    0.62
    Jake
    0.61
    Activations Density 0.271%

    No Known Activations