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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. 15353
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    Explanations

    references to drug schedules by numbers

    oai_token-act-pair · gpt-3.5-turbo

    classifications of drugs and their schedules as defined by regulatory agencies

    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
    vim
    -0.78
    ograp
    -0.75
    owe
    -0.75
    ãĥĨãĤ£
    -0.72
    owsky
    -0.71
    bats
    -0.70
    pload
    -0.69
    doms
    -0.68
    isman
    -0.68
    uploads
    -0.68
    POSITIVE LOGITS
     inhibitor
    0.81
     guiActiveUnfocused
    0.78
     Intermediate
    0.73
     metab
    0.72
    +.
    0.72
    +,
    0.71
     Centauri
    0.70
     inhibitors
    0.70
     reserve
    0.70
     boosters
    0.69
    Activations Density 0.074%

    No Known Activations