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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5203
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    Explanations

    mentions of photography related words and activities

    oai_token-act-pair · gpt-3.5-turbo

    empty or placeholder segments in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     incorpor
    -0.69
    _.
    -0.65
    jri
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    eday
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     Vaugh
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     challeng
    -0.62
    enegger
    -0.61
     disadvant
    -0.58
    atever
    -0.58
     Niet
    -0.57
    POSITIVE LOGITS
    ¶
    0.65
     Belfast
    0.49
     Confederate
    0.48
    oplan
    0.47
     âĢº
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     Copyright
    0.46
     )]
    0.46
    zbollah
    0.45
     Image
    0.44
    thood
    0.43
    Activations Density 1.835%

    No Known Activations