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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 3154
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific substances or elements

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

    No Comments

    Negative Logits
    ĸļ
    -0.98
    href
    -0.73
    peat
    -0.72
    ģĸ
    -0.71
    orah
    -0.68
    Adds
    -0.67
    psey
    -0.65
    ceans
    -0.64
    Animation
    -0.63
    oji
    -0.62
    POSITIVE LOGITS
     Colleges
    0.70
    ãĥ¼ãĥĨãĤ£
    0.67
     vocational
    0.65
     Conserv
    0.64
     Finder
    0.64
    grand
    0.64
     dc
    0.63
     Term
    0.62
    tun
    0.62
     512
    0.62
    Activations Density 0.000%

    No Known Activations