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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. 2154
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    Explanations

    text indicating removal or elimination of something

    oai_token-act-pair · gpt-3.5-turbo

    references to removal

    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
    ratulations
    -0.88
    aic
    -0.78
    cule
    -0.75
    worker
    -0.75
    ril
    -0.75
    BUG
    -0.74
    ress
    -0.73
    ecd
    -0.72
    lopp
    -0.70
    rien
    -0.69
    POSITIVE LOGITS
     orbit
    0.87
     premises
    0.85
     consideration
    0.81
     existence
    0.81
     circulation
    0.79
     altogether
    0.76
     shelves
    0.75
     Pastebin
    0.74
    pload
    0.74
     pasture
    0.73
    Activations Density 0.076%

    No Known Activations