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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. 8221
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    Explanations

    health-related terms or phrases

    oai_token-act-pair · gpt-3.5-turbo

    references to public health topics

    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
    coni
    -0.74
    pload
    -0.71
     slee
    -0.68
    yss
    -0.68
    âĸ¬âĸ¬
    -0.66
     monop
    -0.65
    âĸ¬
    -0.65
    ãĤ©
    -0.64
     vert
    -0.64
    AUT
    -0.63
    POSITIVE LOGITS
     care
    0.94
    iest
    0.90
     advis
    0.85
    care
    0.84
    aceutical
    0.83
     hazards
    0.80
    icist
    0.80
     Care
    0.77
    ologically
    0.77
    hazard
    0.75
    Activations Density 0.023%

    No Known Activations