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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 95
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    INDEX
    Explanations

    dates and times

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "at" followed by time or date references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aceutical
    -0.79
    employment
    -0.66
    userc
    -0.65
    llor
    -0.65
    irez
    -0.65
    HTTP
    -0.65
    gans
    -0.64
    vec
    -0.64
    film
    -0.62
    umatic
    -0.62
    POSITIVE LOGITS
     noon
    1.15
     midnight
    1.08
     halftime
    1.05
     dusk
    1.03
    rium
    1.02
     Wembley
    0.98
     least
    0.96
     midday
    0.96
     sunset
    0.89
     Disneyland
    0.87
    Activations Density 0.115%

    No Known Activations