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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. 4-RES-JB
    6. 22992
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    Explanations

    vehicles or modes of transportation

    oai_token-act-pair · gpt-3.5-turbo

    references to vehicles involved in various situations

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

    No Comments

    Negative Logits
    utical
    -0.87
     Pinball
    -0.76
     Flavoring
    -0.69
    laus
    -0.69
     Ratings
    -0.68
    velength
    -0.67
    tle
    -0.65
    inen
    -0.64
     gloss
    -0.63
     minds
    -0.63
    POSITIVE LOGITS
     parked
    1.04
     burglary
    0.90
     robbery
    0.88
     dealership
    0.82
    ousel
    0.81
     convoy
    0.80
     vans
    0.80
    riages
    0.79
    load
    0.77
     altercation
    0.77
    Activations Density 0.084%

    No Known Activations