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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 14826
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    Explanations

    mentions of laboratory procedures involving mice, such as experiments and treatments

    oai_token-act-pair · gpt-3.5-turbo

    references to mice and related terminology in scientific contexts

    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
    iquette
    -0.89
    ãĥĨãĤ£
    -0.73
     Views
    -0.72
    oola
    -0.71
    orney
    -0.69
    htaking
    -0.69
    force
    -0.68
     meanings
    -0.66
     regrets
    -0.66
    tra
    -0.65
    POSITIVE LOGITS
     mice
    1.09
     Experiment
    0.95
     experimental
    0.95
     rats
    0.95
     laboratory
    0.94
     cultured
    0.92
     experiment
    0.90
     Trial
    0.90
     hippocamp
    0.89
     trials
    0.89
    Activations Density 0.196%

    No Known Activations