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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. 16571
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    Explanations

    names of people and numbers

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or specific names within the text

    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
    avanaugh
    -0.72
    RELATED
    -0.65
    hews
    -0.61
    letes
    -0.59
    caliber
    -0.58
    rollment
    -0.58
    evaluate
    -0.56
    jobs
    -0.55
    yles
    -0.55
    ordable
    -0.54
    POSITIVE LOGITS
     neighbouring
    0.90
     organis
    0.88
     realised
    0.83
     recognised
    0.82
     recognise
    0.79
     realise
    0.78
     secondly
    0.78
     organise
    0.77
     organising
    0.76
     harbour
    0.74
    Activations Density 2.326%

    No Known Activations