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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. 2684
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    Explanations

    numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical identifiers or codes

    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
    ¥ŀ
    -1.11
    achus
    -0.97
    skirts
    -0.94
     tiss
    -0.89
     tradem
    -0.88
    mble
    -0.88
    cription
    -0.80
    purpose
    -0.79
     ende
    -0.79
    notation
    -0.77
    POSITIVE LOGITS
     ILCS
    1.18
    67
    1.03
    017
    0.97
    68
    0.89
    66
    0.88
    awks
    0.88
    676
    0.87
    69
    0.86
    75
    0.85
    807
    0.85
    Activations Density 0.017%

    No Known Activations