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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. 9-RES-JB
    11. 1910
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    Explanations

    requests for verifying that the user is not a robot, typically through clicking a button

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to user engagement and interaction prompts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.73
     Logged
    -0.62
    ãĢij
    -0.54
    âķIJ
    -0.53
    EStreamFrame
    -0.52
    minist
    -0.51
     satell
    -0.51
    rendered
    -0.50
    ÃĥÃĤ
    -0.50
    lund
    -0.50
    POSITIVE LOGITS
     alike
    0.65
    seller
    0.56
    eatured
    0.50
    ity
    0.50
     respectively
    0.49
     cornerstone
    0.48
    ospels
    0.48
     headline
    0.47
    irty
    0.46
     newsletter
    0.46
    Activations Density 0.822%

    No Known Activations