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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. 11-RES-JB
    11. 9266
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    oai_token-act-pair · gpt-3.5-turbo

    expressions of opinion or commentary on quality or standards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    resa
    -0.71
    Officials
    -0.70
     earthqu
    -0.67
    aughter
    -0.66
     ÂŃ
    -0.65
    âĢ
    -0.64
     Nieto
    -0.63
    aughtered
    -0.62
     Recep
    -0.61
     Officials
    -0.61
    POSITIVE LOGITS
     I
    1.07
     suffice
    0.97
     usability
    0.96
    Firstly
    0.96
     Personally
    0.96
    Personally
    0.96
     beginners
    0.89
     Whilst
    0.87
     whilst
    0.85
     honestly
    0.84
    Activations Density 0.528%

    No Known Activations