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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. 10-RES-JB
    6. 210
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    Explanations

    phrases relating to things being accessible or available to the public

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating accessibility to the public

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     dearly
    -0.68
    tein
    -0.67
     doomed
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    Dur
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     à¤
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    м
    -0.61
    å¦
    -0.59
    lycer
    -0.58
    sis
    -0.58
     attributed
    -0.57
    POSITIVE LOGITS
     outsiders
    1.07
     everyone
    0.92
     everybody
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     anyone
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     scrutiny
    0.86
    everyone
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     inspection
    0.85
     explore
    0.85
     anybody
    0.84
     public
    0.83
    Activations Density 0.135%

    No Known Activations