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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
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    Explanations

    phrases related to medical conditions or procedures, particularly focusing on terms like "typhus," "measles," "influenza," and "diphtheria."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to diseases and infections

    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
    chell
    -0.81
    CLA
    -0.78
    VEN
    -0.67
    izable
    -0.64
    KNOWN
    -0.64
    CLASSIFIED
    -0.63
     merit
    -0.61
     quo
    -0.61
     Deliver
    -0.60
     Kraft
    -0.60
    POSITIVE LOGITS
    iph
    1.23
    ilic
    1.01
    osph
    1.00
    ysics
    0.99
    izoph
    0.93
    obia
    0.93
    agonal
    0.90
    oton
    0.89
    oenix
    0.88
    teenth
    0.88
    Activations Density 0.004%

    No Known Activations