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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. 0-RES-JB
    11. 20163
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    Explanations

    references to forensic laboratories

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific laboratory or lab-related context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    poke
    -0.73
    catch
    -0.72
    CLOSE
    -0.69
     grace
    -0.68
     pardon
    -0.68
    ultimate
    -0.67
     Tornado
    -0.65
     catch
    -0.63
    othe
    -0.63
    Ļ½
    -0.62
    POSITIVE LOGITS
     Lab
    3.87
    Lab
    2.73
     Laboratory
    2.30
    lab
    2.21
     lab
    2.13
     Labs
    1.88
    LAB
    1.72
     Laboratories
    1.65
     labs
    1.61
     Labrador
    1.55
    Activations Density 0.012%

    No Known Activations