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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. 6-RES-JB
    11. 17451
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    Explanations

    numeric patterns with special characters related to measurements

    oai_token-act-pair · gpt-3.5-turbo

    numeric representations or indicators of measurements and specific data points

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Palestin
    -0.69
     Citiz
    -0.69
     Juda
    -0.66
    illas
    -0.66
    iffs
    -0.62
     corrid
    -0.62
     incorpor
    -0.61
     Jem
    -0.59
     behav
    -0.58
     Rocks
    -0.58
    POSITIVE LOGITS
    ï¸ı
    1.08
    tre
    0.89
    iversary
    0.86
    payer
    0.79
    ordinary
    0.75
    around
    0.72
    tal
    0.72
    tered
    0.72
    âģ
    0.72
    flush
    0.71
    Activations Density 0.282%

    No Known Activations