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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. 5340
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    Explanations

    references to large quantities of people or things

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating large quantities or groups of people

    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
    avior
    -0.81
    ester
    -0.73
    dict
    -0.73
    anus
    -0.72
    anything
    -0.70
    asion
    -0.70
    peak
    -0.69
    vention
    -0.69
    hra
    -0.67
    urden
    -0.67
    POSITIVE LOGITS
     thousands
    1.05
     miles
    0.99
     kilometers
    0.97
     kilometres
    0.97
     acres
    0.96
     individuals
    0.93
     pages
    0.92
     pounds
    0.92
     articles
    0.89
     volunteers
    0.87
    Activations Density 0.124%

    No Known Activations