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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. 11-RES-JB
    11. 974
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    Explanations

    information related to events or incidents that involve taking preventative measures for safety

    oai_token-act-pair · gpt-3.5-turbo

    references to holiday traditions and celebrations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     downstream
    -0.79
     Jazeera
    -0.78
    ysis
    -0.77
    RNA
    -0.77
    ellect
    -0.74
    qt
    -0.73
     prote
    -0.73
     UA
    -0.73
     PW
    -0.73
     ATP
    -0.72
    POSITIVE LOGITS
    Christmas
    2.34
     Christmas
    2.34
     festive
    2.01
     holiday
    1.89
    Santa
    1.83
     Santa
    1.83
     Holiday
    1.83
     holidays
    1.80
    holiday
    1.74
     Thanksgiving
    1.64
    Activations Density 0.425%

    No Known Activations