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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. 10-RES-JB
    11. 5608
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    Explanations

    mentions of large amounts of money being spent

    oai_token-act-pair · gpt-3.5-turbo

    mentions of spending money, particularly in financial contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     heights
    -0.65
    ãĤ¦ãĤ¹
    -0.63
    levels
    -0.63
    redd
    -0.61
    itta
    -0.60
    antha
    -0.60
    ells
    -0.59
    actionDate
    -0.59
    idences
    -0.56
    ounded
    -0.56
    POSITIVE LOGITS
     wisely
    1.22
     frivol
    1.01
     on
    0.99
     trying
    0.92
     researching
    0.89
     lav
    0.88
     renov
    0.87
     elsewhere
    0.86
     subsid
    0.85
     investigating
    0.84
    Activations Density 0.108%

    No Known Activations