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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 23870
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    Explanations

    words related to medical conditions and treatments

    oai_token-act-pair · gpt-3.5-turbo

    words associated with illness or health-related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    maker
    -0.75
     interpre
    -0.72
     appropriated
    -0.71
     cessation
    -0.70
     interpreter
    -0.69
     revenues
    -0.68
    river
    -0.67
    RAG
    -0.66
     creditor
    -0.66
    peak
    -0.66
    POSITIVE LOGITS
     coli
    1.17
    illus
    1.02
    Magikarp
    0.98
    sie
    0.96
    ococ
    0.94
    mone
    0.93
    amins
    0.91
    _(
    0.82
    Õ
    0.82
    irus
    0.81
    Activations Density 0.023%

    No Known Activations