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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. 4-RES-JB
    11. 17203
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    Explanations

    words related to medical complications

    oai_token-act-pair · gpt-3.5-turbo

    references to health-related complications

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

    No Comments

    Negative Logits
    ership
    -0.94
    berman
    -0.93
    bors
    -0.79
    entin
    -0.74
    amaru
    -0.73
    ers
    -0.72
    enium
    -0.72
    encer
    -0.71
    bour
    -0.70
    bor
    -0.70
    POSITIVE LOGITS
     complications
    1.10
     complication
    0.84
     arising
    0.79
     headaches
    0.77
     stemming
    0.76
     inconven
    0.75
     arise
    0.74
     incurred
    0.73
     plag
    0.71
    ascular
    0.71
    Activations Density 0.015%

    No Known Activations