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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. 1-RES-JB
    11. 13931
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    Explanations

    references to potential fraudulent schemes or deceptive activities

    oai_token-act-pair · gpt-3.5-turbo

    references to scams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itarian
    -0.71
    determination
    -0.68
    IFE
    -0.64
     intimate
    -0.62
     priv
    -0.61
     supervised
    -0.61
    lihood
    -0.61
     heaviest
    -0.60
     remembrance
    -0.60
     occasion
    -0.59
    POSITIVE LOGITS
     scam
    1.23
     scams
    1.03
    pering
    0.97
    ulent
    0.89
    crow
    0.88
    ulence
    0.86
    istry
    0.85
    ming
    0.83
    roo
    0.80
    atown
    0.78
    Activations Density 0.006%

    No Known Activations