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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. 3-RES-JB
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    Explanations

    mentions of the American football team "Vikings."

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the "Vikings" within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rooms
    -0.78
     constitu
    -0.76
    pot
    -0.74
    ++++++++
    -0.74
    ++++
    -0.70
    elo
    -0.70
    İ
    -0.69
    andra
    -0.68
    uter
    -0.67
    arial
    -0.67
    POSITIVE LOGITS
     Vikings
    1.26
     Viking
    1.17
    borg
    0.86
     Berserker
    0.86
    istani
    0.85
     Norse
    0.83
     Andersen
    0.79
     Icelandic
    0.79
     Ragnar
    0.78
    lund
    0.77
    Activations Density 0.012%

    No Known Activations