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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. 10-RES-JB
    11. 10588
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    Explanations

    mentions of specific car brands, particularly Toyota

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific car brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    getic
    -0.87
    hemy
    -0.82
    itud
    -0.79
    flows
    -0.76
    robe
    -0.75
    glers
    -0.74
    sheets
    -0.74
    andestine
    -0.74
    uits
    -0.73
    lay
    -0.72
    POSITIVE LOGITS
     Motor
    1.27
     dealership
    1.12
     Motors
    1.00
     Mobility
    0.93
    ota
    0.93
     Motorsport
    0.91
     Cars
    0.89
     Corporation
    0.86
    Mobil
    0.86
    Benz
    0.85
    Activations Density 0.037%

    No Known Activations