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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. 17551
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    Explanations

    dates in the format of "month, year."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific months of the year

    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
     Haram
    -0.87
    otle
    -0.84
    gers
    -0.74
    aleb
    -0.71
    anooga
    -0.69
    sem
    -0.67
    inburgh
    -0.66
    ioch
    -0.65
     behavi
    -0.64
    oos
    -0.64
    POSITIVE LOGITS
    pring
    0.87
    ths
    0.78
     Ukrain
    0.78
    flower
    0.76
    ipolar
    0.75
     Ples
    0.75
    nd
    0.73
    ads
    0.71
    lies
    0.70
    rences
    0.69
    Activations Density 0.072%

    No Known Activations