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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 21482
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    INDEX
    Explanations

    exaggerated or overstated statements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to exaggeration and hype

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ³³³³
    -0.74
    ³³
    -0.69
    iott
    -0.68
    ellig
    -0.67
    illes
    -0.66
    ¯¯
    -0.63
     Commando
    -0.62
    tnc
    -0.61
     Banking
    -0.59
    iem
    -0.59
    POSITIVE LOGITS
     exagger
    1.08
     inflated
    0.93
     exaggeration
    0.85
     exaggerated
    0.82
     hype
    0.80
     overest
    0.76
     falsely
    0.72
    False
    0.69
    rites
    0.68
     tales
    0.67
    Activations Density 0.105%

    No Known Activations