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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. 11905
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    Explanations

    instances where a company or organization has been fined or found guilty of wrongdoing

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "to be" in various forms

    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
    chenko
    -0.74
    Scroll
    -0.73
     Temper
    -0.70
     traject
    -0.67
    ipeg
    -0.65
     sightings
    -0.63
     sketches
    -0.63
     excitement
    -0.63
     impressions
    -0.61
     congratulations
    -0.61
    POSITIVE LOGITS
     fined
    1.30
     sued
    1.26
     reimb
    1.18
     suing
    1.14
     obligated
    1.14
     negligent
    1.07
     issuing
    1.07
     obliged
    1.06
     liable
    1.06
     penal
    1.06
    Activations Density 0.210%

    No Known Activations