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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. 8-RES-JB
    11. 7968
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    Explanations

    personal names mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vag
    -0.86
    vir
    -0.85
    flies
    -0.85
    wrapper
    -0.84
    housing
    -0.82
    ocial
    -0.82
    amen
    -0.80
    hospital
    -0.79
    driving
    -0.79
    soc
    -0.79
    POSITIVE LOGITS
     Manuel
    0.93
     Rogers
    0.93
     Manning
    0.92
     Stevens
    0.89
     Doe
    0.88
     Holt
    0.87
     Murray
    0.87
     Fernandez
    0.86
     Rudd
    0.86
     Neville
    0.85
    Activations Density 0.163%

    No Known Activations