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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. 5032
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    INDEX
    Explanations

    phrases related to combat and fighting

    oai_token-act-pair · gpt-3.5-turbo

    references to enemies in a game context

    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
    teen
    -0.74
    xit
    -0.74
    ð
    -0.74
    eret
    -0.72
    utic
    -0.70
    FORMATION
    -0.70
    daq
    -0.70
    aughs
    -0.68
    dated
    -0.68
    ardo
    -0.68
    POSITIVE LOGITS
     enemies
    0.97
     enemy
    0.91
     NPCs
    0.88
     respawn
    0.80
    \<
    0.78
     invade
    0.78
     Enemies
    0.77
     Controller
    0.77
     invaded
    0.77
     combatants
    0.77
    Activations Density 0.030%

    No Known Activations