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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. 9-RES-JB
    11. 1996
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    Explanations

    instances of people reporting observations or experiences

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "have" and its associations with reports or actions related to groups or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REDACTED
    -0.68
    inventoryQuantity
    -0.64
    lein
    -0.63
     predecessor
    -0.62
    Vers
    -0.62
    âĶ
    -0.61
     resides
    -0.60
    Aw
    -0.58
    Evil
    -0.58
     Viz
    -0.57
    POSITIVE LOGITS
     routinely
    1.00
     increasingly
    0.97
     everywhere
    0.95
     beware
    0.90
     clam
    0.89
     outnumbered
    0.88
     encouraged
    0.88
     alike
    0.88
     plentiful
    0.86
    ateurs
    0.84
    Activations Density 0.394%

    No Known Activations