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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    mentions related to the brand "Chevrolet"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Chevrolet and its various models

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vironment
    -0.95
    ĨĴ
    -0.89
    aunder
    -0.80
    umbnail
    -0.77
    inen
    -0.75
    ĺħ
    -0.73
    udic
    -0.71
    ocrine
    -0.70
    yss
    -0.70
    hof
    -0.69
    POSITIVE LOGITS
     Chevy
    1.16
     Corvette
    1.07
     Chevrolet
    1.01
     Volt
    0.95
    rolet
    0.95
     Chase
    0.91
     dealership
    0.90
     sedan
    0.83
     Cars
    0.81
     Cadillac
    0.80
    Activations Density 0.013%

    No Known Activations