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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. 11-RES-JB
    11. 14015
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    Explanations

    various types of ongoing activities or projects

    oai_token-act-pair · gpt-3.5-turbo

    references to projects and planning activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ĥİ
    -0.71
     Revival
    -0.67
     Subtle
    -0.66
    WARD
    -0.60
     extremes
    -0.58
     Breed
    -0.58
    emale
    -0.57
     Dayton
    -0.56
    Swe
    -0.56
    imaru
    -0.56
    POSITIVE LOGITS
     lined
    1.34
     ready
    1.14
     handy
    1.03
     implanted
    1.01
     nailed
    0.99
     installed
    0.99
     pinned
    0.98
     booked
    0.95
     lodged
    0.95
     mapped
    0.94
    Activations Density 0.390%

    No Known Activations