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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. 7-RES-JB
    11. 2141
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    Explanations

    years or dates represented by four digits, such as 20XX

    oai_token-act-pair · gpt-3.5-turbo

    references to the 20th century

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    plom
    -0.80
    pora
    -0.74
    afort
    -0.74
    ño
    -0.71
    kell
    -0.70
    hei
    -0.70
    uana
    -0.69
    ablo
    -0.69
    henko
    -0.69
    abolic
    -0.68
    POSITIVE LOGITS
    âĸĪâĸĪ
    1.00
    committee
    0.85
    th
    0.83
    skirts
    0.80
    ISH
    0.78
    isher
    0.77
    ishers
    0.77
    mph
    0.75
    SW
    0.75
     minutes
    0.74
    Activations Density 0.060%

    No Known Activations