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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. 3-RES-JB
    6. 1125
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    expressions that indicate disclaimers or qualifications in statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     largeDownload
    -0.72
    Discussion
    -0.69
    tnc
    -0.66
    ortment
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     Networks
    -0.61
    LOS
    -0.60
    BUG
    -0.60
    Condition
    -0.60
    visor
    -0.59
    rotein
    -0.59
    POSITIVE LOGITS
     anymore
    1.68
     nor
    1.49
     slightest
    1.29
     necessarily
    1.12
     whatsoever
    1.04
    necess
    1.03
     anywhere
    1.02
     anything
    1.02
    yet
    1.01
     any
    0.94
    Activations Density 0.847%

    No Known Activations