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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. 6-RES-JB
    11. 4212
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    Explanations

    words related to geographical poles or vertical structures

    oai_token-act-pair · gpt-3.5-turbo

    references to polar regions or poles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æĸ¹
    -0.98
    Export
    -0.88
    Interstitial
    -0.84
    esis
    -0.80
    lycer
    -0.77
    enance
    -0.77
    enegger
    -0.77
    displayText
    -0.75
    ebook
    -0.74
    HR
    -0.74
    POSITIVE LOGITS
     pole
    1.37
     poles
    1.19
     Pole
    1.00
    pole
    0.99
    mic
    0.90
     Poles
    0.85
     maiden
    0.76
    ball
    0.72
    axe
    0.72
     dancer
    0.71
    Activations Density 0.017%

    No Known Activations