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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. 16594
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    INDEX
    Explanations

    Proper nouns, specifically names of people and locations

    oai_token-act-pair · gpt-3.5-turbo

    instances of numeric values or counts

    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
     tremend
    -0.92
     eleph
    -0.87
     newsp
    -0.80
     occas
    -0.79
     maneu
    -0.75
     newcom
    -0.72
    emort
    -0.71
     teasp
    -0.71
     oun
    -0.69
     exha
    -0.69
    POSITIVE LOGITS
     Dozens
    0.79
    Scientists
    0.78
    Britain
    0.78
    Hundreds
    0.78
    Technology
    0.77
    BBC
    0.77
    Thousands
    0.75
    Domin
    0.74
    Labour
    0.74
    ↵
    0.72
    Activations Density 0.084%

    No Known Activations