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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. 9-RES-JB
    11. 22946
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    Explanations

    phrases related to identifying, detecting, and addressing issues

    oai_token-act-pair · gpt-3.5-turbo

    connections involving the word "and" paired with actions related to identifying or discovering

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Shrine
    -0.79
     Doors
    -0.71
     Borders
    -0.70
     Arms
    -0.69
     Horse
    -0.68
     Nope
    -0.66
     Thin
    -0.65
     Golf
    -0.65
     Hats
    -0.65
     Cars
    -0.64
    POSITIVE LOGITS
     analyse
    1.17
     analyze
    1.15
    rogens
    1.07
    rogen
    1.07
     evaluate
    1.05
     quantify
    1.04
     respond
    1.04
     comprehend
    0.97
     obey
    0.95
     diagnose
    0.94
    Activations Density 0.124%

    No Known Activations