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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. 1-RES-JB
    11. 2410
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    Explanations

    mentions related to medical treatments or substances

    oai_token-act-pair · gpt-3.5-turbo

    specific keywords related to institutions and substances in scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rette
    -0.90
    rament
    -0.89
    eur
    -0.85
    anooga
    -0.84
    lest
    -0.83
    rett
    -0.81
    gerald
    -0.81
    ortion
    -0.79
    lia
    -0.78
    į
    -0.77
    POSITIVE LOGITS
     Lans
    0.91
     greens
    0.77
    backer
    0.76
    phrine
    0.76
    LINE
    0.76
     Parkinson
    0.76
     Kaepernick
    0.73
    ourcing
    0.73
    adder
    0.70
     Hir
    0.69
    Activations Density 0.031%

    No Known Activations