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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. 7-RES-JB
    11. 7302
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otin
    -0.70
    ratulations
    -0.66
    à¨
    -0.65
    Champ
    -0.65
    soDeliveryDate
    -0.65
    ptin
    -0.65
    TextColor
    -0.64
    DEV
    -0.64
    ,,,,,,,,
    -0.62
     cruc
    -0.62
    POSITIVE LOGITS
     behalf
    1.50
     Wednesday
    1.12
     Thursday
    1.09
    etime
    1.08
     Friday
    1.08
     Sunday
    1.03
     Monday
    1.00
     Tuesday
    1.00
     Saturday
    1.00
    eness
    0.98
    Activations Density 0.137%

    No Known Activations