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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. 8-RES-JB
    11. 4973
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    INDEX
    Explanations

    mentions of numbers and names, possibly related to politics

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     amph
    -0.73
    hement
    -0.72
     intent
    -0.70
     renowned
    -0.70
     Conserv
    -0.67
     flare
    -0.67
     parad
    -0.65
     antit
    -0.64
     jealous
    -0.62
     piping
    -0.61
    POSITIVE LOGITS
    Total
    1.01
    Average
    0.97
    é»Ĵ
    0.95
    Avg
    0.91
    Timeout
    0.90
    Posted
    0.88
    ãĥ¯ãĥ³
    0.88
    Summary
    0.88
    Overall
    0.87
    Number
    0.87
    Activations Density 0.105%

    No Known Activations