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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. 15622
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    Explanations

    certain characters or character sequences in a text, possibly related to non-standard or encoded information

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of specific characters or symbols

    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
    ttes
    -0.91
    dfx
    -0.77
    atche
    -0.74
     Pearce
    -0.72
     Wynne
    -0.69
    olkien
    -0.69
     Constantine
    -0.68
     Gutenberg
    -0.67
     Foss
    -0.67
     Lauder
    -0.66
    POSITIVE LOGITS
    ¤
    1.03
    requ
    1.03
    Ĭ
    1.02
    к
    1.02
    Ī
    0.97
    ļ
    0.95
    ÑĤ
    0.93
    ¿
    0.93
    ŀ
    0.92
    ĭ
    0.89
    Activations Density 0.008%

    No Known Activations