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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. 19998
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    Explanations

    mentions of medical conditions and treatments

    oai_token-act-pair · gpt-3.5-turbo

    instances of medical conditions or ailments

    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
    .--
    -0.64
    ~~~~
    -0.61
    zn
    -0.61
     (>
    -0.57
    '?
    -0.57
    ãĥ¥
    -0.55
    !--
    -0.55
     Helsinki
    -0.54
     highs
    -0.54
    ritical
    -0.54
    POSITIVE LOGITS
    76561
    0.63
     pione
    0.62
    appro
    0.62
     actionGroup
    0.61
    hetti
    0.61
    ilus
    0.58
    who
    0.58
    avis
    0.58
     aka
    0.56
    gemony
    0.54
    Activations Density 0.191%

    No Known Activations