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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. 8-RES-JB
    6. 21880
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    Explanations

    phrases indicating a high level of certainty or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express a degree of certainty or specificity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eworks
    -0.80
    iddles
    -0.79
    packages
    -0.77
    ###
    -0.76
    TeX
    -0.75
     thence
    -0.75
    usercontent
    -0.75
    >>>
    -0.75
    enders
    -0.74
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.72
    POSITIVE LOGITS
     amount
    1.46
     extent
    1.12
     percentage
    1.11
     subset
    1.07
     number
    1.06
     degree
    1.02
    ties
    0.95
     kind
    0.94
     threshold
    0.91
     proportion
    0.84
    Activations Density 0.033%

    No Known Activations