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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. 4-RES-JB
    11. 19991
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    Explanations

    mentions of specific car brands

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific car brands, particularly BMW and Mazda

    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
    arters
    -0.84
    laus
    -0.74
    mond
    -0.73
    vere
    -0.72
    atro
    -0.71
    tainment
    -0.69
    mary
    -0.68
    anamo
    -0.67
    rencies
    -0.65
    oldemort
    -0.65
    POSITIVE LOGITS
     BMW
    0.79
     Motorsport
    0.77
     sedan
    0.70
    sonian
    0.68
     dealership
    0.67
    imil
    0.67
     ank
    0.66
     warranties
    0.65
    bach
    0.64
     radiator
    0.64
    Activations Density 0.005%

    No Known Activations