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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. 4-RES-JB
    11. 18533
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    Explanations

    phrases related to electrical power and technical specifications

    oai_token-act-pair · gpt-3.5-turbo

    references to power measurements and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Phantom
    -0.71
    oslov
    -0.66
     Onion
    -0.64
    ournal
    -0.61
     Camb
    -0.60
    anthrop
    -0.58
     Crit
    -0.58
     Axel
    -0.57
     Polic
    -0.57
     Liu
    -0.57
    POSITIVE LOGITS
    atts
    1.32
    enberg
    0.94
     Watts
    0.87
     watt
    0.86
    itness
    0.85
    awatts
    0.84
    ages
    0.83
    ukong
    0.82
    ithing
    0.82
    acre
    0.82
    Activations Density 0.015%

    No Known Activations