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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. 2225
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    Explanations

    terms related to biological processes, especially in the context of development and cellular functions

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to biological processes and mechanisms in cellular development

    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
    ttes
    -0.87
    wered
    -0.77
    nces
    -0.76
    pants
    -0.76
    =-=-
    -0.72
    Numbers
    -0.71
     cents
    -0.71
     Cologne
    -0.70
     Pew
    -0.69
    csv
    -0.69
    POSITIVE LOGITS
     phenotype
    1.41
     mammalian
    1.34
     metabolic
    1.33
     neuronal
    1.31
     adaptive
    1.29
     metabolism
    1.29
     regulating
    1.28
     physiological
    1.27
     circadian
    1.26
     medi
    1.23
    Activations Density 0.363%

    No Known Activations