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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. 0-RES-JB
    11. 23160
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    Explanations

    phrases indicating an intention or plan

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to intent or purpose

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Clover
    -0.74
     veins
    -0.62
     lig
    -0.62
     dumps
    -0.62
    ess
    -0.61
     reject
    -0.61
     Fiorina
    -0.61
     short
    -0.61
     withdraw
    -0.60
     spur
    -0.59
    POSITIVE LOGITS
    icion
    0.79
     guiIcon
    0.78
    IELD
    0.75
    Winged
    0.73
    Players
    0.73
    ilogy
    0.71
    aughters
    0.71
    illon
    0.71
    uth
    0.70
    ð
    0.68
    Activations Density 0.000%

    No Known Activations