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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. 4-RES-JB
    11. 13402
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    Explanations

    references to the messaging application WhatsApp

    oai_token-act-pair · gpt-3.5-turbo

    references to the messaging applications WhatsApp and Telegram

    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
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    No Comments

    Negative Logits
    gling
    -0.94
    ration
    -0.74
    bard
    -0.70
    abama
    -0.68
    gio
    -0.68
    ©¶æ
    -0.67
    edar
    -0.67
    eled
    -0.66
    ordan
    -0.65
    ocr
    -0.65
    POSITIVE LOGITS
     Messenger
    1.02
     Hots
    0.90
     messenger
    0.86
     alerts
    0.78
     WhatsApp
    0.76
    CHAT
    0.75
     notifications
    0.75
     Chat
    0.74
    Chat
    0.74
    soever
    0.74
    Activations Density 0.013%

    No Known Activations