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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. 11-RES-JB
    11. 12383
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    Explanations

    scientific research findings or discoveries

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating experimental results and findings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ney
    -0.72
     Vanity
    -0.70
    taboola
    -0.70
    hattan
    -0.69
     Surve
    -0.69
    enty
    -0.67
    alloween
    -0.67
     Courage
    -0.66
    soft
    -0.66
    tesy
    -0.66
    POSITIVE LOGITS
     associations
    1.07
     correlations
    1.05
     that
    0.91
     similarities
    0.90
     abnormalities
    0.90
     activation
    0.88
     reductions
    0.88
     convinc
    0.87
     evidence
    0.87
     alterations
    0.86
    Activations Density 0.154%

    No Known Activations