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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. 8-RES-JB
    11. 13112
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    Explanations

    dates and times mentioned in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    timestamps and dates

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    cius
    -0.68
     Sessions
    -0.68
     Chocobo
    -0.62
     Schne
    -0.62
     Andromeda
    -0.60
     Lect
    -0.60
     Examination
    -0.59
     McMaster
    -0.59
     Prof
    -0.59
     Asgard
    -0.58
    POSITIVE LOGITS
    advertising
    0.68
    inez
    0.64
     appre
    0.64
    imeo
    0.63
    SPONSORED
    0.62
    ontent
    0.62
    thumbnails
    0.61
    Submit
    0.61
    [_
    0.60
    Upload
    0.60
    Activations Density 0.062%

    No Known Activations