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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. 8-RES-JB
    11. 19297
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    phrases related to energy efficiency

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to efficiency in energy use

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulhu
    -0.88
     Kern
    -0.76
     Hex
    -0.75
     Jelly
    -0.74
     Arabian
    -0.73
     bark
    -0.69
     Mock
    -0.68
     Klan
    -0.66
     Claus
    -0.66
     sunset
    -0.66
    POSITIVE LOGITS
    saving
    1.38
    sensitive
    1.37
    related
    1.33
    driven
    1.33
    wise
    1.31
    producing
    1.29
    oriented
    1.28
    intensive
    1.28
    management
    1.25
    based
    1.25
    Activations Density 0.081%

    No Known Activations