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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. 9-RES-JB
    6. 14970
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    Explanations

    first instances or beginnings of events or entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases referring to first rounds or initial stages in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    beans
    -0.73
     Twins
    -0.65
    gans
    -0.64
    seys
    -0.63
     masc
    -0.61
    clips
    -0.61
     Animals
    -0.60
     launchers
    -0.60
    asus
    -0.59
     Characters
    -0.59
    POSITIVE LOGITS
     approximation
    0.89
     glim
    0.79
    -
    0.77
     glimpse
    0.77
     contender
    0.73
     impression
    0.73
    class
    0.72
     dimensional
    0.72
    Rate
    0.71
    stroke
    0.70
    Activations Density 0.115%

    No Known Activations