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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. 9-RES-JB
    11. 3734
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    Explanations

    phrases related to sports matchups

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the definite article "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    milo
    -0.87
    thood
    -0.81
    cyclopedia
    -0.73
    bnb
    -0.72
    ndum
    -0.72
    EVA
    -0.72
    tube
    -0.71
    soType
    -0.71
    nsic
    -0.71
    bh
    -0.68
    POSITIVE LOGITS
     lowly
    1.07
     Falcons
    1.04
     Eagles
    1.04
     Tigers
    1.03
     Panthers
    1.02
     Buccaneers
    1.01
     Jets
    1.01
     Rams
    1.00
     Hawks
    0.99
     Cardinals
    0.99
    Activations Density 0.086%

    No Known Activations