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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. 3-RES-JB
    11. 16813
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    Explanations

    numbers in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    instances of special characters or formatting artifacts in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -1.04
    ãģ®éŃĶ
    -0.88
    enburg
    -0.78
    iard
    -0.70
     VK
    -0.68
     guiActiveUnfocused
    -0.67
    otrop
    -0.66
    Downloadha
    -0.66
     Eliot
    -0.63
     destroyer
    -0.63
    POSITIVE LOGITS
    ¹
    1.30
    ¬
    1.28
    ³
    1.24
    ¿
    1.19
    ¥
    1.19
    ¦
    1.17
    ¼
    1.16
    µ
    1.14
    ª
    1.13
    ¤
    1.12
    Activations Density 0.013%

    No Known Activations