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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. 9-RES-JB
    11. 1894
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    Explanations

    phrases related to the Centers for Disease Control and Prevention

    oai_token-act-pair · gpt-3.5-turbo

    references to health organizations and diseases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sticks
    -0.71
    bery
    -0.68
     quart
    -0.68
     sax
    -0.64
    mel
    -0.61
     bumper
    -0.60
    kj
    -0.60
     bribes
    -0.60
     seeker
    -0.59
     whisk
    -0.58
    POSITIVE LOGITS
     Control
    0.92
     Outbreak
    0.91
     Prevention
    0.83
     Epidem
    0.80
     Policy
    0.78
     Identification
    0.76
    Management
    0.71
     Assessment
    0.71
     Disease
    0.70
     Health
    0.70
    Activations Density 0.032%

    No Known Activations