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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
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    Explanations

    references to the messaging application "WhatsApp."

    oai_token-act-pair · gpt-3.5-turbo

    references to the messaging application WhatsApp and its functionalities

    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
    gling
    -0.78
    venge
    -0.75
    heid
    -0.73
    opez
    -0.72
    bard
    -0.67
    arson
    -0.67
    rd
    -0.65
    biased
    -0.64
    ration
    -0.63
     occup
    -0.62
    POSITIVE LOGITS
     WhatsApp
    1.04
     Messenger
    0.82
     Telegram
    0.76
     messenger
    0.74
     Hots
    0.73
     Airways
    0.72
     notifications
    0.71
    soever
    0.71
    ipop
    0.70
     alerts
    0.70
    Activations Density 0.008%

    No Known Activations