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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. 3-RES-JB
    6. 17485
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    Explanations

    phrases with the name "Linda" mentioned with different levels of relevance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Linda."

    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
    kers
    -0.81
    ngth
    -0.75
    jri
    -0.73
    deck
    -0.71
    mare
    -0.71
    kies
    -0.69
    hire
    -0.68
    aic
    -0.68
    hon
    -0.68
    hma
    -0.67
    POSITIVE LOGITS
    irect
    0.77
    roid
    0.75
     Mae
    0.74
     Mandela
    0.73
    atta
    0.73
    uce
    0.72
     Linda
    0.71
    emon
    0.71
    inda
    0.71
    udi
    0.71
    Activations Density 0.006%

    No Known Activations