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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. 12147
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    Explanations

    mentions of medical conditions or health-related issues

    oai_token-act-pair · gpt-3.5-turbo

    references to medical conditions

    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
    enic
    -0.78
    rious
    -0.72
    sonian
    -0.71
    soDeliveryDate
    -0.70
     straw
    -0.69
    DERR
    -0.68
    orney
    -0.68
    arag
    -0.65
    Robin
    -0.65
    kil
    -0.65
    POSITIVE LOGITS
    ality
    0.99
     Condition
    0.98
    Condition
    0.95
     condition
    0.93
    eering
    0.90
    aldehyde
    0.86
    ally
    0.82
    eers
    0.80
    naire
    0.77
     Conditions
    0.75
    Activations Density 0.014%

    No Known Activations