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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. 1-RES-JB
    11. 23575
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    Explanations

    mentions of medical terms or entities such as "Med", "NHS", "MyMed", and "medical conditions"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Med" related to medical or healthcare contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     innocence
    -0.69
    !/
    -0.65
    ¯
    -0.64
    âĻ¦
    -0.64
    ¯
    -0.62
     indign
    -0.61
    BOOK
    -0.61
     Grayson
    -0.60
     Orwell
    -0.60
    ï¸ı
    -0.60
    POSITIVE LOGITS
    Med
    1.26
    iterranean
    1.19
    ieval
    1.17
    ications
    1.09
    undai
    1.06
    icum
    0.95
    ics
    0.92
    ication
    0.89
    phrine
    0.89
    eco
    0.88
    Activations Density 0.005%

    No Known Activations