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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. 4-RES-JB
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    Explanations

    the term "Saints" in contexts related to football or sports

    oai_token-act-pair · gpt-3.5-turbo

    references to the Saints football team

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

    No Comments

    Negative Logits
    enegger
    -0.87
    PsyNetMessage
    -0.79
    inventoryQuantity
    -0.78
    ="#
    -0.72
    frame
    -0.71
    iary
    -0.67
     clocks
    -0.65
    frames
    -0.64
    jri
    -0.63
    ihad
    -0.63
    POSITIVE LOGITS
     Saints
    1.13
    pring
    0.82
     Awakens
    0.74
    burg
    0.72
    crow
    0.68
     Cathedral
    0.68
    rock
    0.68
     Yard
    0.67
     Bohem
    0.65
     Crusade
    0.65
    Activations Density 0.009%

    No Known Activations