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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. 18388
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    Explanations

    references to Chevrolet vehicles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Chevrolet vehicles

    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
    vironment
    -0.85
    ĺħ
    -0.83
    ijk
    -0.80
    yss
    -0.76
    inen
    -0.75
    umbnail
    -0.74
    ocrine
    -0.74
    ĨĴ
    -0.73
    uality
    -0.72
    eki
    -0.72
    POSITIVE LOGITS
     Corvette
    1.04
     Chevy
    1.04
     Chevrolet
    0.91
     Volt
    0.88
     Chase
    0.87
     dealership
    0.86
    rolet
    0.84
     Cars
    0.81
     sedan
    0.80
     Seat
    0.77
    Activations Density 0.011%

    No Known Activations