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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. 2181
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    Explanations

    descriptions of news events with an emphasis on what is being reported

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating important information or summaries

    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
     favor
    -0.66
    oit
    -0.62
    uttering
    -0.60
    robe
    -0.60
    rone
    -0.60
    eer
    -0.60
    ways
    -0.58
    bilt
    -0.58
    enegger
    -0.56
    ename
    -0.56
    POSITIVE LOGITS
     happens
    1.05
     happened
    1.02
     transpired
    0.94
     constitutes
    0.91
     happ
    0.86
     redes
    0.86
     separates
    0.80
     else
    0.79
     distinguishes
    0.78
     Happ
    0.78
    Activations Density 0.098%

    No Known Activations