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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. 7-RES-JB
    11. 11807
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific medical or scientific concepts and terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Nanto
    -0.68
     Hok
    -0.66
     Bei
    -0.66
     Ago
    -0.65
     MH
    -0.64
    é¾
    -0.64
     Kis
    -0.64
     traveller
    -0.63
     Astral
    -0.63
     Belg
    -0.63
    POSITIVE LOGITS
    âĶĢâĶĢâĶĢâĶĢ
    0.94
    rates
    0.67
    ALLY
    0.66
    ivably
    0.65
    ifix
    0.62
    eson
    0.61
    hement
    0.61
    hem
    0.61
     welf
    0.60
     dissatisf
    0.60
    Activations Density 0.104%

    No Known Activations