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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    the word "Titan" with different variations in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Titan."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    merce
    -0.70
    eworthy
    -0.66
     hust
    -0.66
    McC
    -0.66
    irc
    -0.65
    ANC
    -0.64
    yles
    -0.64
     pes
    -0.63
    ials
    -0.63
     preferences
    -0.63
    POSITIVE LOGITS
     Titan
    4.02
     titan
    2.17
     Titans
    1.54
     Saturn
    1.42
     TIT
    1.36
    itan
    1.32
     Prometheus
    1.24
     Atlas
    1.22
     Pegasus
    1.21
    otaur
    1.11
    Activations Density 0.015%

    No Known Activations