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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    instances where the number "911" is mentioned

    oai_token-act-pair · gpt-3.5-turbo

    instances of emergency calls to 911

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

    No Comments

    Negative Logits
    rug
    -0.79
    wikipedia
    -0.78
    protein
    -0.76
    ularity
    -0.72
    thumbnails
    -0.72
    chance
    -0.71
    laus
    -0.70
    glomer
    -0.69
    hend
    -0.69
    xtap
    -0.69
    POSITIVE LOGITS
     911
    1.26
     dispatcher
    1.00
    gencies
    0.82
    ILLE
    0.81
     caller
    0.78
     hotline
    0.75
    911
    0.74
     EMS
    0.74
     Simulator
    0.73
     announcer
    0.72
    Activations Density 0.015%

    No Known Activations