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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. 2-RES-JB
    6. 19774
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    Explanations

    references to different classes or classifications

    oai_token-act-pair · gpt-3.5-turbo

    references to classification levels or categories related to offenses or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issance
    -0.79
    OPLE
    -0.70
     destro
    -0.70
     guiActiveUn
    -0.68
     ende
    -0.68
     push
    -0.68
    orescence
    -0.68
     skept
    -0.65
     promise
    -0.64
     spr
    -0.64
    POSITIVE LOGITS
     Class
    0.99
    mates
    0.99
    Loader
    0.95
    mate
    0.94
    ifiers
    0.93
    Class
    0.89
    Cast
    0.89
     Classes
    0.88
    ifier
    0.87
    Construct
    0.84
    Activations Density 0.011%

    No Known Activations