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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. 9-RES-JB
    6. 219
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    INDEX
    Explanations

    lessons or moral insights

    oai_token-act-pair · gpt-3.5-turbo

    references to lessons or teachings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AE
    -0.64
    å¯
    -0.61
     Origins
    -0.59
     Keep
    -0.59
     [|
    -0.58
    Ds
    -0.58
     Unlock
    -0.57
     Dresden
    -0.57
     Freeze
    -0.57
    âĹ¼
    -0.56
    POSITIVE LOGITS
     than
    1.15
    ened
    1.12
    ening
    1.04
     fortunate
    1.00
    ons
    0.96
    ens
    0.90
     travelled
    0.87
     traveled
    0.85
    than
    0.82
    ener
    0.79
    Activations Density 0.056%

    No Known Activations