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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 23702
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    Explanations

    sequences related to genetic expressions and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific genes and their expression in scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Views
    -0.75
     Bohem
    -0.71
    terday
    -0.70
     Polk
    -0.69
     Avalon
    -0.69
     Fiesta
    -0.67
     Popular
    -0.67
     lounge
    -0.66
    estate
    -0.66
    essee
    -0.65
    POSITIVE LOGITS
    β
    1.51
    α
    1.32
     receptor
    1.23
    γ
    1.21
     mRNA
    1.19
     proteins
    1.19
     protein
    1.15
     antibody
    1.11
     receptors
    1.10
    protein
    1.10
    Activations Density 0.133%

    No Known Activations