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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. 20361
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    INDEX
    Explanations

    medical conditions or situations involving bleeding

    oai_token-act-pair · gpt-3.5-turbo

    terms related to injury or blood loss

    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
    姫
    -0.88
    BOOK
    -0.83
    ourke
    -0.80
    wcsstore
    -0.79
    Policy
    -0.73
    ordan
    -0.73
    aterasu
    -0.72
    izoph
    -0.72
    ECH
    -0.71
    entric
    -0.71
    POSITIVE LOGITS
     bleeding
    1.00
     bleed
    0.92
     hemorrh
    0.85
     wrists
    0.80
    thro
    0.78
     wounds
    0.77
    drop
    0.76
     clot
    0.75
     prof
    0.75
    stained
    0.73
    Activations Density 0.014%

    No Known Activations