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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. 858
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    Explanations

    phrases related to energy generation and production

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to energy production and sustainability

    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
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    No Comments

    Negative Logits
     Gest
    -0.82
     Behavioral
    -0.79
     landmarks
    -0.75
     Agents
    -0.72
     Investigator
    -0.71
     Obst
    -0.71
    onomy
    -0.70
     Intervention
    -0.70
     subjective
    -0.70
     Relations
    -0.70
    POSITIVE LOGITS
     emit
    1.24
     generate
    1.15
     recycle
    1.15
     spew
    1.12
     pump
    1.12
     consume
    1.11
     produce
    1.11
     refuel
    1.09
     liqu
    1.08
     irrig
    1.07
    Activations Density 0.371%

    No Known Activations