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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. 21909
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    Explanations

    phrases related to various skills and expertise

    oai_token-act-pair · gpt-3.5-turbo

    references to skills and skill levels

    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
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    No Comments

    Negative Logits
    romeda
    -0.64
     Franch
    -0.64
     Noon
    -0.64
    algia
    -0.63
     Wilhelm
    -0.63
     Bom
    -0.63
    Continue
    -0.63
     Manz
    -0.60
     prostate
    -0.60
     Amen
    -0.60
    POSITIVE LOGITS
    ets
    1.05
    et
    1.03
    fully
    1.02
    ful
    1.01
    chery
    0.96
    learn
    0.95
    shots
    0.95
    cape
    0.89
    anooga
    0.89
     proficiency
    0.88
    Activations Density 0.057%

    No Known Activations