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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. 10-RES-JB
    11. 5862
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    Explanations

    terms related to various institutions or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to various organizations or centers involved in research or advocacy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WER
    -0.81
     trick
    -0.77
     lad
    -0.76
     sir
    -0.72
     tricks
    -0.70
     hur
    -0.69
     cane
    -0.68
     swast
    -0.68
     pedals
    -0.68
     gra
    -0.68
    POSITIVE LOGITS
     Investigative
    1.29
     Inquiry
    1.24
     Disease
    1.19
     Excellence
    1.18
     Respons
    1.13
     Strategic
    1.12
     Economic
    1.05
     Addiction
    1.04
     Biological
    1.03
     Computing
    1.03
    Activations Density 0.026%

    No Known Activations