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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. 962
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    Explanations

    the word "course"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate agreement or acknowledgment

    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
    aukee
    -0.69
    mented
    -0.69
    press
    -0.64
    RAW
    -0.62
    burg
    -0.61
    rouse
    -0.60
    ItemTracker
    -0.60
    idas
    -0.60
    inator
    -0.60
    mage
    -0.59
    POSITIVE LOGITS
     there
    0.84
    adays
    0.79
    terday
    0.77
     THERE
    0.70
     we
    0.65
     nobody
    0.62
     Merrill
    0.62
    olkien
    0.61
    oros
    0.61
    س
    0.61
    Activations Density 0.037%

    No Known Activations