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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. 3-RES-JB
    11. 4969
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    Explanations

    numbers or codes with specific formats

    oai_token-act-pair · gpt-3.5-turbo

    numerical identifiers and codes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -0.93
     corrid
    -0.88
    querque
    -0.83
     nomine
    -0.78
     tiss
    -0.77
     thous
    -0.77
     millenn
    -0.75
    reon
    -0.75
    Þ
    -0.71
     withd
    -0.69
    POSITIVE LOGITS
    657
    0.93
    646
    0.91
    793
    0.90
    245
    0.89
    88
    0.89
    454
    0.87
    806
    0.87
    608
    0.86
    685
    0.86
    994
    0.85
    Activations Density 0.166%

    No Known Activations