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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. 8-RES-JB
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    Explanations

    mentions of the name "Mura" with varying levels of specificity indicated by different activations

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of the name "Mur"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Prometheus
    -0.70
     Hercules
    -0.70
     Pixie
    -0.70
     Union
    -0.67
     Hammond
    -0.67
     Westbrook
    -0.66
     Fundamental
    -0.66
     Shining
    -0.65
     Gauntlet
    -0.64
     Bayer
    -0.64
    POSITIVE LOGITS
    mur
    1.28
    geon
    1.11
    phys
    1.05
    daq
    1.04
    ricane
    1.03
    geons
    1.00
    abit
    1.00
    rill
    1.00
    asaki
    1.00
    rats
    0.99
    Activations Density 0.036%

    No Known Activations