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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. 1-RES-JB
    11. 8654
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     slightest
    -0.84
     exha
    -0.82
     sleeves
    -0.70
     aspir
    -0.69
    ©¶æ
    -0.68
     heav
    -0.68
     microw
    -0.67
     oun
    -0.67
     big
    -0.67
     sche
    -0.67
    POSITIVE LOGITS
    tenance
    1.03
    rely
    1.01
    terday
    1.00
    hog
    0.97
    cum
    0.94
    ride
    0.92
    artist
    0.91
    gender
    0.90
    xual
    0.90
    crow
    0.87
    Activations Density 0.037%

    No Known Activations