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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. 6-RES-JB
    6. 16782
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    INDEX
    Explanations

    quantities or amounts of things mentioned in the texts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that quantify or refer to measurements or amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -1.10
    \\\\\\\\
    -0.88
    edin
    -0.81
    ħĭ
    -0.81
    ÙIJ
    -0.81
    reys
    -0.78
    stocks
    -0.75
    Õ
    -0.74
    \'
    -0.73
    Ń·
    -0.73
    POSITIVE LOGITS
     allowable
    0.92
     accumulated
    0.91
     money
    0.88
     mileage
    0.86
     overlap
    0.85
     fines
    0.84
     energy
    0.83
     ingested
    0.80
     absorbed
    0.78
     effort
    0.78
    Activations Density 0.047%

    No Known Activations