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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. 247
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    INDEX
    Explanations

    information related to tactical gameplay strategies and maneuvers

    oai_token-act-pair · gpt-3.5-turbo

    strategies related to competitive gameplay

    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
     Amtrak
    -0.80
     Epstein
    -0.80
     Guinness
    -0.78
     Goodell
    -0.77
     Pric
    -0.77
     handwriting
    -0.75
     Dickens
    -0.74
     Rowling
    -0.74
     Adidas
    -0.73
     undergraduate
    -0.73
    POSITIVE LOGITS
     aggro
    1.33
     respawn
    1.28
     flank
    1.27
     turrets
    1.27
     minions
    1.20
     spawn
    1.20
     melee
    1.19
     spawns
    1.18
     minion
    1.17
     turret
    1.16
    Activations Density 0.294%

    No Known Activations