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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. 5-RES-JB
    6. 15160
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    Explanations

    mentions of the word "bi" or words that contain "bi" as a prefix

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific biological entities or classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lain
    -1.04
    rained
    -0.75
    mble
    -0.71
     tread
    -0.70
     apex
    -0.67
     resultant
    -0.61
     steering
    -0.60
    lich
    -0.58
    bringer
    -0.57
     bumper
    -0.57
    POSITIVE LOGITS
    oche
    0.99
    OGR
    0.97
    otech
    0.94
    ographical
    0.92
    ological
    0.91
    ode
    0.91
    ochem
    0.90
    ophobia
    0.89
    elsen
    0.88
    emi
    0.86
    Activations Density 0.012%

    No Known Activations