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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. 0-RES-JB
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    Explanations

    phrases related to infections and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "infected" and its variations related to health and disease contexts

    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
    heet
    -0.71
     Sug
    -0.69
     Westminster
    -0.69
     YES
    -0.68
    minster
    -0.66
     Witt
    -0.65
     retirement
    -0.65
     Beg
    -0.64
     Transition
    -0.64
     Kerr
    -0.63
    POSITIVE LOGITS
     infected
    3.73
     infect
    2.34
    infect
    2.15
     contaminated
    1.98
     infection
    1.97
     Infect
    1.79
     afflicted
    1.69
     infections
    1.67
     virus
    1.61
     bitten
    1.61
    Activations Density 0.020%

    No Known Activations