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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. 9-RES-JB
    11. 16191
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    Explanations

    titles of books

    oai_token-act-pair · gpt-3.5-turbo

    titles and references to books and authors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gallery
    -0.72
    umbnails
    -0.69
    assic
    -0.68
     attendance
    -0.68
     wards
    -0.67
    bender
    -0.67
     ire
    -0.65
     cancell
    -0.65
     injure
    -0.64
     versa
    -0.64
    POSITIVE LOGITS
     Definitive
    1.35
     Lessons
    1.15
     Experience
    1.13
     Strategies
    1.11
     Forgotten
    1.10
     Guide
    1.10
     Struggle
    1.08
     Debate
    1.07
     Pract
    1.06
     Hidden
    1.06
    Activations Density 0.189%

    No Known Activations