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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. 6-RES-JB
    11. 16942
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    Explanations

    scientific and technical terms related to various fields like biology, energy, medicine, and programming

    oai_token-act-pair · gpt-3.5-turbo

    nouns associated with biological, technological, or regulatory processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶĢâĶĢâĶĢâĶĢ
    -0.77
    PLA
    -0.72
    Tur
    -0.71
    rawdownloadcloneembedreportprint
    -0.67
    Experience
    -0.67
    Translation
    -0.66
    Ton
    -0.66
    Honest
    -0.65
    ãĥª
    -0.64
    Aug
    -0.64
    POSITIVE LOGITS
    hip
    1.11
    hips
    1.05
    mith
    1.00
    etting
    0.98
     aren
    0.98
    paces
    0.97
     are
    0.97
    afety
    0.94
    ystem
    0.93
    poons
    0.92
    Activations Density 0.436%

    No Known Activations