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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. 6-RES-JB
    11. 24390
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    Explanations

    references 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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aft
    -0.76
    STD
    -0.74
    omorphic
    -0.74
     NEC
    -0.72
    ifles
    -0.71
    animate
    -0.70
    onyms
    -0.70
    DEP
    -0.69
     kindred
    -0.68
    anim
    -0.67
    POSITIVE LOGITS
     halftime
    0.92
     Bowl
    0.86
     Countdown
    0.84
    Games
    0.77
    VII
    0.76
     XXX
    0.76
     Winners
    0.76
    s
    0.75
     XVI
    0.74
     XL
    0.73
    Activations Density 0.017%

    No Known Activations