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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. 4-RES-JB
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    Explanations

    dates in the format of "Month Day"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the date "February 9."

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

    No Comments

    Negative Logits
    éĹĺ
    -0.75
    Reviewer
    -0.73
    schild
    -0.66
    enegger
    -0.61
    ablishment
    -0.61
    akens
    -0.60
    lords
    -0.59
     cracks
    -0.58
    é¾į
    -0.58
     popcorn
    -0.57
    POSITIVE LOGITS
    uary
    1.01
    ice
    0.94
    nd
    0.92
    iors
    0.92
    omore
    0.91
    ruary
    0.89
    vier
    0.86
    oreal
    0.86
    bris
    0.85
    isco
    0.83
    Activations Density 0.005%

    No Known Activations