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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
    11. 16381
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    Explanations

    phrases related to the Super Bowl

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Super Bowl

    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
    STD
    -0.84
     NEC
    -0.72
    Reviewer
    -0.70
    abet
    -0.69
    DEP
    -0.66
     kindred
    -0.65
    ename
    -0.65
     metic
    -0.64
    frames
    -0.62
    ements
    -0.62
    POSITIVE LOGITS
     Bowl
    1.28
    bowl
    0.88
     Simulator
    0.84
     âī¡
    0.79
     Stadium
    0.77
     Tracker
    0.76
     Playoffs
    0.75
    Games
    0.75
     Playoff
    0.74
    ombat
    0.74
    Activations Density 0.010%

    No Known Activations