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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. 5-RES-JB
    6. 6663
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    Explanations

    phrases that provide context or additional information

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate exceptions or qualifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ANS
    -0.90
    dayName
    -0.85
    atta
    -0.81
    iland
    -0.76
    asin
    -0.75
    boa
    -0.74
    anmar
    -0.71
    BILL
    -0.68
    MIC
    -0.68
    ãĥĨ
    -0.67
    POSITIVE LOGITS
     appearances
    0.74
     providing
    0.74
     those
    0.72
     being
    0.69
     afar
    0.69
     having
    0.65
     the
    0.65
     its
    0.64
     occasional
    0.64
     confirming
    0.62
    Activations Density 0.024%

    No Known Activations