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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. 11-RES-JB
    11. 1801
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    Explanations

    phrases related to sports injuries and player performance

    oai_token-act-pair · gpt-3.5-turbo

    references to injuries and the impact on player performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     popul
    -0.72
     generations
    -0.68
     colourful
    -0.64
    ForgeModLoader
    -0.62
     indo
    -0.62
     dens
    -0.61
    peak
    -0.60
    Companies
    -0.59
     manufact
    -0.59
     Nobel
    -0.58
    POSITIVE LOGITS
     due
    0.99
    jured
    0.96
     against
    0.95
    against
    0.91
     recovering
    0.90
     injured
    0.90
    due
    0.87
     opener
    0.84
     sidelined
    0.82
     concussion
    0.82
    Activations Density 0.320%

    No Known Activations