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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. 5990
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    Explanations

    content and promotional messages in emails

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of content and promotions

    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
    cknowled
    -0.70
    ère
    -0.61
    hee
    -0.59
    GBT
    -0.50
     contention
    -0.49
     fuss
    -0.49
     evid
    -0.49
     Citation
    -0.48
     reconc
    -0.48
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.48
    POSITIVE LOGITS
    olars
    0.71
    edly
    0.71
    entimes
    0.63
    morning
    0.63
    osion
    0.57
    inion
    0.57
    izons
    0.56
    ffield
    0.56
     Morning
    0.56
    wr
    0.55
    Activations Density 0.017%

    No Known Activations