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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. 3-RES-JB
    11. 15537
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    INDEX
    Explanations

    references to different levels or amounts of doses

    oai_token-act-pair · gpt-3.5-turbo

    references to dosages or quantities of substances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atters
    -0.70
    BAT
    -0.68
    ndra
    -0.67
    develop
    -0.65
    ovies
    -0.65
    sections
    -0.64
    auga
    -0.62
    thumbnails
    -0.62
    OUR
    -0.62
    inates
    -0.60
    POSITIVE LOGITS
     dose
    1.19
     doses
    1.13
     dosage
    0.90
     weights
    0.82
     regimen
    0.81
     aspirin
    0.81
     laced
    0.79
     inhal
    0.78
     orally
    0.73
    amphetamine
    0.71
    Activations Density 0.016%

    No Known Activations