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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    complete sentences containing the word "Everything" at a high activation level

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "everything."

    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
    Not in Any Lists

    No Comments

    Negative Logits
     rank
    -0.72
     wid
    -0.70
     minority
    -0.68
     Sabha
    -0.68
     cross
    -0.67
     registered
    -0.65
     penal
    -0.64
     pension
    -0.62
     researchers
    -0.62
     recipients
    -0.61
    POSITIVE LOGITS
     Everything
    3.19
    Everything
    2.58
    everything
    2.32
     Anything
    1.83
     everything
    1.73
     Everywhere
    1.73
     Nothing
    1.65
     Things
    1.65
     Everybody
    1.64
    Anything
    1.54
    Activations Density 0.022%

    No Known Activations