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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 24452
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    Explanations

    words in a non-Latin script, possibly Cyrillic

    oai_token-act-pair · gpt-3.5-turbo

    characters or symbols, potentially indicating special or foreign textual elements

    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
    Not in Any Lists

    No Comments

    Negative Logits
     manif
    -0.67
     dolls
    -0.65
     Riley
    -0.65
     conduc
    -0.64
     temptation
    -0.64
     visitation
    -0.64
    ktop
    -0.64
    bourg
    -0.64
    enegger
    -0.61
     caravan
    -0.61
    POSITIVE LOGITS
    оÐ
    1.08
    е
    1.04
    ÑĢ
    1.04
    ¬
    1.04
    Į
    1.03
    °
    1.02
    Ĺ
    1.00
    ĺ
    1.00
    Ñĥ
    0.99
    ¹
    0.99
    Activations Density 0.051%

    No Known Activations