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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. 21523
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    Explanations

    words indicating emphasis or importance

    oai_token-act-pair · gpt-3.5-turbo

    phrases of description or assessment indicating significance or understatement

    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
     reorgan
    -0.79
     specialize
    -0.70
    ebted
    -0.69
     repairing
    -0.69
     retrie
    -0.69
     benches
    -0.67
     proficient
    -0.65
     repair
    -0.64
     recovery
    -0.63
     recovered
    -0.63
    POSITIVE LOGITS
     understatement
    0.79
    quickShipAvailable
    0.77
     Certainly
    0.74
    Answer
    0.73
    Certainly
    0.71
    Probably
    0.71
     certainly
    0.70
    HCR
    0.69
    CM
    0.69
    Factor
    0.69
    Activations Density 0.266%

    No Known Activations