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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. 4092
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    Explanations

    references to a specific name, "Celine", potentially associated with different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "eline" across different contexts

    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
    rity
    -0.94
    ongyang
    -0.83
    rongh
    -0.82
    eatures
    -0.78
    etsy
    -0.76
    awaru
    -0.75
    urt
    -0.75
     warr
    -0.75
    uden
    -0.75
    orate
    -0.74
    POSITIVE LOGITS
    phrine
    0.90
    ãĥ¥
    0.76
    eline
    0.76
     Hebdo
    0.75
    witz
    0.75
    ttes
    0.75
    xual
    0.75
     Lilly
    0.70
     Dion
    0.68
    ength
    0.66
    Activations Density 0.009%

    No Known Activations