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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. 24062
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    Explanations

    phrases indicating errors or issues

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "wrong."

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    gil
    -0.79
    urst
    -0.74
    bern
    -0.71
    rikes
    -0.68
    Portland
    -0.67
    quickShipAvailable
    -0.66
    tein
    -0.65
    ility
    -0.65
    temp
    -0.65
    otine
    -0.64
    POSITIVE LOGITS
     attendant
    0.70
    fully
    0.68
    akia
    0.65
     unintended
    0.65
     onstage
    0.63
     miser
    0.62
     execution
    0.62
     academ
    0.61
     Mara
    0.61
     Investigator
    0.60
    Activations Density 0.033%

    No Known Activations