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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 12009
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    Explanations

    the word "Palin" with varying activations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Sarah Palin

    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
    Ö¼
    -0.83
    Increases
    -0.74
    Trend
    -0.74
    URI
    -0.73
    ~~~~~~~~~~~~~~~~
    -0.73
    ————————————————
    -0.72
    upon
    -0.72
    âĸº
    -0.68
    Detailed
    -0.68
    âĵĺ
    -0.68
    POSITIVE LOGITS
     Palin
    1.31
    igon
    0.97
    erity
    0.87
    istani
    0.84
    isma
    0.83
    phrine
    0.78
    EStream
    0.78
    iband
    0.77
    jriwal
    0.76
     Schwarzenegger
    0.76
    Activations Density 0.006%

    No Known Activations