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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. 3-RES-JB
    11. 5206
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    INDEX
    Explanations

    references to make and models of cars, specifically Subaru models

    oai_token-act-pair · gpt-3.5-turbo

    specific car brands, particularly Subaru

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iation
    -0.77
    oneliness
    -0.75
    hattan
    -0.73
    ongh
    -0.71
    uci
    -0.71
    room
    -0.71
     Shades
    -0.69
    rooms
    -0.69
    erm
    -0.66
     Nort
    -0.66
    POSITIVE LOGITS
    aleigh
    0.78
    allel
    0.71
    umar
    0.70
    pex
    0.69
    haust
    0.69
    foreseen
    0.68
     sqor
    0.68
    interrupted
    0.67
    ItemTracker
    0.67
     Archangel
    0.65
    Activations Density 0.017%

    No Known Activations