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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. 2-RES-JB
    6. 22744
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    INDEX
    Explanations

    keywords related to exhibitions or events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of expos and exhibitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    croft
    -0.78
    gettable
    -0.78
    radical
    -0.76
    bole
    -0.72
    balanced
    -0.71
    tie
    -0.71
    tymology
    -0.67
     precarious
    -0.67
    alias
    -0.65
    ties
    -0.65
    POSITIVE LOGITS
     Expo
    1.21
     Convention
    1.00
    ption
    0.88
     Attend
    0.80
     Exhibition
    0.77
    Fest
    0.76
    eport
    0.74
     Booth
    0.71
     Jinping
    0.71
     Sessions
    0.71
    Activations Density 0.007%

    No Known Activations