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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. 1-RES-JB
    11. 16307
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    INDEX
    Explanations

    numerical sequences, potentially related to statistics or rankings

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical or coded sequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anium
    -0.71
    udeb
    -0.67
     Libraries
    -0.66
     Murdoch
    -0.65
    urtle
    -0.64
    rawdownloadcloneembedreportprint
    -0.64
     dictionary
    -0.59
     hooked
    -0.59
     library
    -0.58
     Kodi
    -0.58
    POSITIVE LOGITS
    ļ
    0.81
    ª
    0.79
    Ùĩ
    0.78
    Ŀ
    0.78
    ļé
    0.76
    ances
    0.74
    Bah
    0.73
    Ģ
    0.72
    ł
    0.71
    Ħ¢
    0.71
    Activations Density 0.403%

    No Known Activations