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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. 0-RES-JB
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    Explanations

    references to the act of driving

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "driving"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibl
    -0.77
    oire
    -0.75
    ~~~~~~~~
    -0.71
     scraps
    -0.68
    ival
    -0.68
    luaj
    -0.68
    yx
    -0.67
     Includes
    -0.67
    Cro
    -0.66
     [*]
    -0.66
    POSITIVE LOGITS
     driving
    3.56
     Driving
    2.80
    driving
    2.65
     drivers
    2.02
     driver
    2.02
    Dri
    1.99
     Drivers
    1.90
     drive
    1.84
     drove
    1.79
     drives
    1.70
    Activations Density 0.018%

    No Known Activations