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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. 6-RES-JB
    11. 265
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    INDEX
    Explanations

    keywords related to "driver" such as license, software, assistance, or vehicles

    oai_token-act-pair · gpt-3.5-turbo

    references to drivers and driving-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aeper
    -0.83
    iversal
    -0.81
     Seym
    -0.79
     Flavoring
    -0.79
    ritic
    -0.75
    yss
    -0.72
    ropolitan
    -0.71
    imaru
    -0.71
     Lum
    -0.71
    ertain
    -0.70
    POSITIVE LOGITS
     driver
    0.87
     drivers
    0.86
    driver
    0.84
    less
    0.80
     Drivers
    0.79
    driving
    0.79
     license
    0.78
     pige
    0.76
     beware
    0.75
     driving
    0.74
    Activations Density 0.035%

    No Known Activations