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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. 2-RES-JB
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    Explanations

    keywords related to American football teams, specifically the "Titans" and "Jaguars"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific sports teams, particularly the Titans and Jaguars

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lly
    -0.88
    lied
    -0.78
    travel
    -0.77
    cation
    -0.74
    cific
    -0.74
    acerb
    -0.71
    clusive
    -0.71
    rence
    -0.71
    ding
    -0.70
    viously
    -0.70
    POSITIVE LOGITS
     Titans
    1.33
     Turtles
    0.92
     Tokens
    0.79
    aurus
    0.79
     Raiders
    0.77
     Predators
    0.72
     mascot
    0.71
     Crate
    0.71
    Apps
    0.70
     Jaguars
    0.69
    Activations Density 0.008%

    No Known Activations