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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 16236
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    Explanations

    terms related to a scientific field or medical condition, specifically focusing on the concept of detecting errors or abnormalities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to detection and related medical or scientific procedures

    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
     rage
    -0.69
     gamb
    -0.67
     Bloom
    -0.64
     Ashley
    -0.63
     repeated
    -0.62
     brewery
    -0.61
     airing
    -0.61
     rush
    -0.60
     GREEN
    -0.60
     Johnny
    -0.60
    POSITIVE LOGITS
    ect
    4.81
    ection
    2.34
    ected
    2.29
    ector
    2.06
    ective
    1.70
    ECT
    1.66
    ectomy
    1.44
    ECTION
    1.26
    duct
    1.10
    ract
    1.09
    Activations Density 0.006%

    No Known Activations