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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. 24163
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    Explanations

    scientific terms and concepts related to experimental conditions and medical research

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scientific research and findings

    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
    Jimmy
    -0.62
     veto
    -0.62
    Priv
    -0.62
     vanity
    -0.60
     Franch
    -0.58
     petty
    -0.57
     Loyal
    -0.56
     grievances
    -0.56
    iquette
    -0.55
     Garage
    -0.55
    POSITIVE LOGITS
     biologically
    1.02
     biomark
    0.92
     hypothesized
    0.91
     mammalian
    0.89
     biological
    0.89
     âĪ¼
    0.87
     organisms
    0.87
     molecular
    0.87
     proteins
    0.85
     researchers
    0.85
    Activations Density 2.659%

    No Known Activations