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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
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    references to different zones in sports contexts, such as end zones and offensive zones

    oai_token-act-pair · gpt-3.5-turbo

    references to different zones in a sports context

    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
    HCR
    -0.90
    akuya
    -0.88
    nant
    -0.79
    TON
    -0.78
    teness
    -0.77
    sonian
    -0.76
    aldi
    -0.75
    abe
    -0.74
    furt
    -0.74
    edes
    -0.71
    POSITIVE LOGITS
     zone
    0.92
     zones
    0.75
     collision
    0.71
     clos
    0.70
     entrances
    0.70
     blitz
    0.67
     area
    0.66
     keeper
    0.66
     jerk
    0.65
     congestion
    0.64
    Activations Density 0.005%

    No Known Activations