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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. 1-RES-JB
    11. 8815
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    Explanations

    proper noun names, especially related to people

    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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IDE
    -0.80
    ICAN
    -0.79
     bitters
    -0.69
     professionally
    -0.64
    ulating
    -0.63
    BOOK
    -0.61
    ifles
    -0.60
    heet
    -0.60
    ãģ®é
    -0.60
     Acad
    -0.60
    POSITIVE LOGITS
     Keen
    1.14
    nen
    0.92
    ness
    0.90
    eland
    0.80
    icter
    0.79
    mares
    0.76
    ota
    0.73
     lips
    0.72
    wich
    0.71
    nesses
    0.70
    Activations Density 0.008%

    No Known Activations