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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. 3-RES-JB
    6. 10514
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    INDEX
    Explanations

    mentions of items or situations being inexpensive or low-cost

    oai_token-act-pair · gpt-3.5-turbo

    references to affordability or low prices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĹ¼
    -0.81
    ittee
    -0.77
    uberty
    -0.76
    jong
    -0.73
     Sturgeon
    -0.71
     Disorder
    -0.71
    vironment
    -0.68
    ittees
    -0.67
    Staff
    -0.67
    ational
    -0.67
    POSITIVE LOGITS
    ened
    1.06
    liest
    1.04
     cheap
    1.01
     enough
    0.85
    eners
    0.83
     inexpensive
    0.79
    lier
    0.78
     depreciation
    0.76
     fares
    0.76
     cheaply
    0.75
    Activations Density 0.012%

    No Known Activations