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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. 11-RES-JB
    11. 22187
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    Explanations

    words related to measuring, monitoring, and tracking activities and data

    oai_token-act-pair · gpt-3.5-turbo

    terms related to measurement and monitoring

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.85
    é¾įå
    -0.81
    ãĤ»
    -0.80
    ãĤ´ãĥ³
    -0.79
    ãĤµ
    -0.74
    lez
    -0.73
    containing
    -0.72
    bery
    -0.71
    arak
    -0.71
    osate
    -0.70
    POSITIVE LOGITS
     how
    1.25
     whether
    1.07
     fluctuations
    0.98
    enance
    0.93
     compliance
    0.90
    uate
    0.90
     distances
    0.89
     movements
    0.87
     trends
    0.87
     what
    0.86
    Activations Density 0.146%

    No Known Activations