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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. 0-RES-JB
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    Explanations

    the word "pros" or related terms in a document

    oai_token-act-pair · gpt-3.5-turbo

    the term "pros" and discussions surrounding advantages

    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
    hold
    -0.82
    ellar
    -0.66
    enger
    -0.64
     Sheila
    -0.64
    alysed
    -0.64
     Darling
    -0.62
     Darkness
    -0.62
    strap
    -0.61
    alcohol
    -0.61
     wherein
    -0.60
    POSITIVE LOGITS
     pros
    4.28
     Pros
    2.61
    Pros
    1.98
     professionals
    1.28
     pro
    1.12
     positives
    1.09
     professional
    1.02
     advantages
    0.96
     virtues
    0.96
     vets
    0.95
    Activations Density 0.010%

    No Known Activations