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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. 8-RES-JB
    11. 16834
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    Explanations

    positive statements or exclamations in text

    oai_token-act-pair · gpt-3.5-turbo

    special characters or unusual symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     succession
    -0.91
     alleged
    -0.80
     habit
    -0.80
     territorial
    -0.80
     attorney
    -0.78
     divest
    -0.77
     congressional
    -0.76
     purported
    -0.75
     marginal
    -0.74
     statute
    -0.74
    POSITIVE LOGITS
    ï¸ı
    1.78
    âĻ¥
    1.19
    âĻ
    1.10
    ï¸
    1.09
    ðŁ
    1.03
    laughs
    1.01
    RIP
    1.01
    ðŁĺ
    1.01
    âĿ
    0.98
    âľ
    0.96
    Activations Density 0.471%

    No Known Activations