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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. 11-RES-JB
    11. 2796
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    Explanations

    medical conditions and diseases

    oai_token-act-pair · gpt-3.5-turbo

    terms related to diseases and medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -1.13
    displayText
    -0.81
     Holder
    -0.81
    externalActionCode
    -0.79
    cknowled
    -0.69
     Lobby
    -0.65
     Pound
    -0.64
    lights
    -0.63
    saf
    -0.63
     silhou
    -0.61
    POSITIVE LOGITS
     disease
    1.35
     pneumonia
    1.34
     syndrome
    1.28
     arthritis
    1.28
    emia
    1.27
     sclerosis
    1.26
    clerosis
    1.21
    osis
    1.21
     disorder
    1.20
    iasis
    1.19
    Activations Density 0.095%

    No Known Activations