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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. 7-RES-JB
    11. 21303
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     lucky
    -0.74
     liking
    -0.63
     fortunate
    -0.63
    itar
    -0.61
    worldly
    -0.59
    ARCH
    -0.59
     HIS
    -0.59
    Interested
    -0.58
     unlucky
    -0.57
     dreaming
    -0.57
    POSITIVE LOGITS
     amounted
    0.85
     originated
    0.81
     revolves
    0.79
     consisted
    0.79
     consists
    0.78
     involves
    0.77
     reinforces
    0.75
     constitutes
    0.74
     violates
    0.73
     was
    0.73
    Activations Density 0.231%

    No Known Activations