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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. 10-RES-JB
    11. 12365
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    Explanations

    specific characters used in a particular language, perhaps related to a specific set of characters in the Italian language

    oai_token-act-pair · gpt-3.5-turbo

    non-standard characters or symbols in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     decomp
    -0.79
     BDS
    -0.70
     nexus
    -0.66
     mosaic
    -0.64
     fracture
    -0.64
    enegger
    -0.63
     testosterone
    -0.62
    izable
    -0.62
     Sussex
    -0.61
     hazard
    -0.61
    POSITIVE LOGITS
    ¹
    1.70
    Ħ
    1.67
    ĸ
    1.67
    Ĩ
    1.65
    ¾
    1.64
    ²
    1.62
    ·
    1.59
    ¬
    1.58
    Ī
    1.58
    ½
    1.58
    Activations Density 0.012%

    No Known Activations