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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8720
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    Explanations

    first-person pronouns combined with verbs indicating mental processing

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences and relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    advertisement
    -0.77
     Coalition
    -0.72
     Siege
    -0.69
     reperc
    -0.64
     âĩ
    -0.63
     omission
    -0.62
     Pastebin
    -0.60
    itely
    -0.59
     Advertising
    -0.58
     Directors
    -0.58
    POSITIVE LOGITS
    atic
    0.83
    erk
    0.76
    ansk
    0.76
    hers
    0.73
    atically
    0.73
    atche
    0.69
    self
    0.69
    eps
    0.68
     Osw
    0.68
    selves
    0.67
    Activations Density 0.179%

    No Known Activations