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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. 3-RES-JB
    11. 14783
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    Explanations

    references to the messaging platform WhatsApp

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the messaging application WhatsApp

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gling
    -1.00
    opez
    -0.74
    arson
    -0.74
    bard
    -0.70
    heid
    -0.68
    secut
    -0.65
    gio
    -0.64
    ration
    -0.64
    alties
    -0.62
    venge
    -0.62
    POSITIVE LOGITS
     Messenger
    0.90
     Hots
    0.85
     WhatsApp
    0.84
     messenger
    0.81
     alerts
    0.78
    Chat
    0.76
     Chat
    0.73
     chats
    0.73
    Connector
    0.72
     Users
    0.72
    Activations Density 0.011%

    No Known Activations