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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. 6-RES-JB
    6. 16215
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    Explanations

    hypothetical scenarios or conditional statements

    oai_token-act-pair · gpt-3.5-turbo

    conditional statements involving the word "would."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rawdownloadcloneembedreportprint
    -0.65
    atl
    -0.63
    ving
    -0.62
    UFF
    -0.62
     Pearce
    -0.61
     hijab
    -0.61
    vernment
    -0.58
    OTOS
    -0.58
    anka
    -0.58
     Hass
    -0.57
    POSITIVE LOGITS
     surely
    0.75
     automatically
    0.73
    rection
    0.72
    Apps
    0.70
     probably
    0.69
    azo
    0.67
    DIV
    0.67
     immediately
    0.67
     certainly
    0.66
    ramids
    0.65
    Activations Density 0.461%

    No Known Activations