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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. 0-RES-JB
    6. 21490
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    Explanations

    phrases indicating instructions or recommendations

    oai_token-act-pair · gpt-3.5-turbo

    instructions or calls to action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sadd
    -0.69
     reneg
    -0.68
     presided
    -0.68
     upsetting
    -0.66
     reunited
    -0.66
     supposedly
    -0.66
     certainly
    -0.65
     indeed
    -0.65
     reunion
    -0.65
     quo
    -0.64
    POSITIVE LOGITS
     Use
    3.31
    Use
    2.54
     Uses
    2.20
     USE
    2.07
    use
    1.81
     Usage
    1.76
     use
    1.73
     Using
    1.69
     Used
    1.54
    Using
    1.43
    Activations Density 0.012%

    No Known Activations