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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. 16661
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    Explanations

    pairs of related entities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe pairs or groups of individuals

    oai_token-act-pair · gpt-4o-miniTriggered 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
    •All the Features!

    No Comments

    Negative Logits
    edin
    -0.84
    nect
    -0.81
    xit
    -0.76
    iton
    -0.73
    ves
    -0.73
    Trend
    -0.71
    insula
    -0.71
    SpaceEngineers
    -0.70
    VERTISEMENT
    -0.69
    spection
    -0.67
    POSITIVE LOGITS
     equally
    0.77
     acknowledged
    0.76
     celebrated
    0.76
     sides
    0.73
    uding
    0.73
     noted
    0.72
    ocating
    0.72
     suffered
    0.71
     cited
    0.71
     vying
    0.70
    Activations Density 0.068%

    No Known Activations