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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. 4929
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    Explanations

    names and locations within the text

    oai_token-act-pair · gpt-3.5-turbo

    specific personal names and geographical terms

    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
    Not in Any Lists

    No Comments

    Negative Logits
    comed
    -1.02
    subject
    -0.93
    reading
    -0.93
    adapt
    -0.92
    avoid
    -0.91
    housing
    -0.89
    rating
    -0.88
    resist
    -0.86
    license
    -0.86
    amen
    -0.85
    POSITIVE LOGITS
     Rai
    0.86
     Gin
    0.83
     Ara
    0.82
     Devi
    0.81
     Tens
    0.81
     Xi
    0.80
     Yar
    0.80
     Ele
    0.80
     Bak
    0.79
     Ten
    0.79
    Activations Density 0.344%

    No Known Activations