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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 969
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    INDEX
    Explanations

    mentions of the software "Skype"

    oai_token-act-pair · gpt-3.5-turbo

    references to the software Skype

    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
    liga
    -0.75
    ablishment
    -0.73
    arist
    -0.72
    ihil
    -0.69
    udeb
    -0.69
    severe
    -0.68
    ktop
    -0.67
    iosyncr
    -0.66
    pend
    -0.65
    pite
    -0.65
    POSITIVE LOGITS
     Skype
    0.91
     chats
    0.80
     Chat
    0.78
     chatting
    0.75
     Vo
    0.74
    ®
    0.74
    Db
    0.72
     conversations
    0.72
    Screen
    0.69
    Chat
    0.68
    Activations Density 0.008%

    No Known Activations