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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. 9-RES-JB
    11. 24049
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    Explanations

    phrases related to comparisons between different entities

    oai_token-act-pair · gpt-3.5-turbo

    references to significant nouns or subjects across various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    boxes
    -0.97
    storms
    -0.96
    packs
    -0.95
    groups
    -0.91
    pointers
    -0.90
    models
    -0.89
    pots
    -0.88
    ornings
    -0.86
    wolves
    -0.85
    views
    -0.85
    POSITIVE LOGITS
     namesake
    0.79
     counterpart
    0.74
    obook
    0.73
     grandson
    0.73
     successor
    0.73
     equivalent
    0.70
     granddaughter
    0.70
     predecessor
    0.70
     nickname
    0.69
     operator
    0.67
    Activations Density 0.758%

    No Known Activations