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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. 2028
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    Explanations

    specific words related to energy sources, such as oil and gas, and their utilization

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the oil and gas industry

    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
    Not in Any Lists

    No Comments

    Negative Logits
     square
    -0.80
     initials
    -0.80
     execut
    -0.74
     Norris
    -0.71
     landmarks
    -0.71
     Children
    -0.68
     Pett
    -0.67
     portrait
    -0.67
     procedure
    -0.67
     individuals
    -0.66
    POSITIVE LOGITS
    hung
    1.63
    intensive
    1.61
    rich
    1.58
    heavy
    1.50
    producing
    1.50
    driven
    1.45
    loving
    1.43
    saving
    1.39
    filled
    1.39
    dominated
    1.39
    Activations Density 0.059%

    No Known Activations