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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. 0-RES-JB
    11. 13668
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    INDEX
    Explanations

    mentions of anger or frustration

    oai_token-act-pair · gpt-3.5-turbo

    references to "IR" (infrared) technologies or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 0 - anger

    No Comments

    Negative Logits
     Sell
    -0.73
    Scale
    -0.68
     Crew
    -0.67
    chance
    -0.65
     SEAL
    -0.65
     Deal
    -0.65
    specified
    -0.65
    quel
    -0.65
     Pop
    -0.64
     Tavern
    -0.64
    POSITIVE LOGITS
     ir
    3.74
     Ir
    1.46
    Ir
    1.36
     IR
    1.32
     il
    1.05
     infuri
    1.00
     ire
    1.00
     indis
    0.97
     Iris
    0.97
    ir
    0.97
    Activations Density 0.009%

    No Known Activations