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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. 22655
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    Explanations

    phrases related to scientific research, studies, and experiments

    oai_token-act-pair · gpt-3.5-turbo

    sentences containing numerical data or statistical findings

    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
    arat
    -0.79
    othe
    -0.76
    EngineDebug
    -0.74
    enda
    -0.73
     hug
    -0.71
     goodbye
    -0.70
     farewell
    -0.69
     trad
    -0.69
    stan
    -0.69
    inventoryQuantity
    -0.68
    POSITIVE LOGITS
    RESULTS
    1.48
     Results
    1.22
    Results
    1.18
    ULTS
    1.04
     Subjects
    0.99
     Participants
    0.97
    results
    0.95
     Each
    0.93
     Surprisingly
    0.87
    Measure
    0.87
    Activations Density 0.431%

    No Known Activations