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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. 8-RES-JB
    11. 20477
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    Explanations

    adjectives related to completeness or intensity

    oai_token-act-pair · gpt-3.5-turbo

    terms indicating totality or completeness

    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
    undrum
    -0.83
     Bucket
    -0.80
    enario
    -0.79
     Disciple
    -0.75
    genre
    -0.73
    ressor
    -0.71
    aminer
    -0.70
    rium
    -0.70
     Puzzle
    -0.70
    yssey
    -0.68
    POSITIVE LOGITS
     access
    0.99
     parity
    0.91
     ownership
    0.91
     amounts
    0.89
     coverage
    0.88
     compliance
    0.87
     control
    0.86
     responsibility
    0.86
     copies
    0.85
     employment
    0.84
    Activations Density 0.282%

    No Known Activations