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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. 10664
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    INDEX
    Explanations

    references to a lack of clarity in information or communication

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the concept of clarity

    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
     Neighbor
    -0.72
    esp
    -0.71
    eder
    -0.70
    DI
    -0.65
     illegally
    -0.64
    hers
    -0.64
    vest
    -0.63
     Neigh
    -0.63
     Lung
    -0.63
    hern
    -0.63
    POSITIVE LOGITS
     clarity
    3.88
     clarification
    1.86
     clearer
    1.75
     consistency
    1.66
     transparency
    1.59
     certainty
    1.56
     simplicity
    1.52
     purity
    1.45
     specificity
    1.44
     nuance
    1.44
    Activations Density 0.012%

    No Known Activations