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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. 8049
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    Explanations

    specific location names with the word "Drive"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific driving-related locations or streets

    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
    icipated
    -0.73
    aken
    -0.72
    uba
    -0.72
    umbn
    -0.71
    astics
    -0.69
    ody
    -0.68
     Seym
    -0.68
    arov
    -0.68
    uary
    -0.67
    agged
    -0.66
    POSITIVE LOGITS
     Drive
    1.17
    Drive
    0.96
     Dri
    0.89
    disk
    0.82
    drive
    0.79
     Yards
    0.78
     drives
    0.77
    wheel
    0.76
     Drift
    0.75
    lees
    0.75
    Activations Density 0.008%

    No Known Activations