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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. 24096
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    INDEX
    Explanations

    phrases related to providing solutions or addressing needs

    oai_token-act-pair · gpt-3.5-turbo

    prepositions that indicate methods or means of achieving something

    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
    atl
    -0.65
    atal
    -0.65
    igi
    -0.65
    Silver
    -0.64
    atz
    -0.62
    OTAL
    -0.62
    BSD
    -0.62
    ounter
    -0.61
    Kings
    -0.61
    Mine
    -0.61
    POSITIVE LOGITS
     virtue
    1.30
     providing
    1.19
     allowing
    1.19
     eliminating
    1.19
     introducing
    1.15
     removing
    1.14
     combining
    1.14
     releasing
    1.11
     adopting
    1.11
     adding
    1.11
    Activations Density 0.083%

    No Known Activations