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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. 9-RES-JB
    11. 22974
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    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly decimals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     hammer
    -0.70
     erection
    -0.68
    ħĭ
    -0.66
     purse
    -0.65
     undermin
    -0.65
     accus
    -0.62
     appropriation
    -0.60
     stocking
    -0.59
    enza
    -0.58
     recall
    -0.57
    POSITIVE LOGITS
    0
    1.13
    jpg
    1.09
    jar
    1.01
    zip
    1.00
    html
    0.92
    assetsadobe
    0.91
    png
    0.90
     [+
    0.89
    5
    0.88
    00
    0.87
    Activations Density 0.085%

    No Known Activations