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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. 6-RES-JB
    11. 9298
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    Explanations

    phrases related to data analysis and methodology used in research studies

    oai_token-act-pair · gpt-3.5-turbo

    terms related to data analysis and medical research methodologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.85
    tackle
    -0.80
     Tant
    -0.77
    antle
    -0.72
    atron
    -0.69
     wont
    -0.68
    Buff
    -0.67
     lately
    -0.66
    forums
    -0.66
     attracts
    -0.66
    POSITIVE LOGITS
    alyses
    0.97
     randomized
    0.95
     validated
    0.94
     Participants
    0.91
     investigator
    0.88
     questionnaire
    0.88
     Subjects
    0.86
     Procedures
    0.85
     ascertain
    0.84
     participant
    0.84
    Activations Density 0.299%

    No Known Activations