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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
    11. 7490
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    Explanations

    references to the Super Bowl

    oai_token-act-pair · gpt-3.5-turbo

    references to the Super Bowl and its specific editions

    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
    STD
    -0.95
     NEC
    -0.74
    aft
    -0.71
    DEP
    -0.68
    ogyn
    -0.68
    abet
    -0.68
    Reviewer
    -0.67
    govtrack
    -0.67
    ename
    -0.65
     reluct
    -0.65
    POSITIVE LOGITS
     Bowl
    1.19
     halftime
    0.85
     Finals
    0.84
    bowl
    0.83
    Games
    0.81
     Celebration
    0.78
     Simulator
    0.76
     Era
    0.75
    VII
    0.75
     Stadium
    0.75
    Activations Density 0.013%

    No Known Activations