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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. 11-RES-JB
    11. 4747
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    Explanations

    mentions of individuals being taken to medical facilities or hospitals

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "taken" in contexts involving medical treatment or emergencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    vine
    -0.69
     Inher
    -0.64
     Conquer
    -0.62
     Clicker
    -0.62
     embr
    -0.61
    igham
    -0.60
     Architects
    -0.60
    rats
    -0.59
     Trees
    -0.59
     pse
    -0.57
    POSITIVE LOGITS
     aback
    1.54
     hostage
    1.08
     prisoner
    1.03
     captive
    0.97
     into
    0.96
     away
    0.89
     alive
    0.80
     ashore
    0.79
     refuge
    0.78
    aways
    0.78
    Activations Density 0.033%

    No Known Activations