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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. 3131
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    Explanations

    phrases asking if the reader is a certain type of person

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the term "you are" in various contexts

    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
    pedia
    -0.73
    sers
    -0.70
     sails
    -0.69
    BuyableInstoreAndOnline
    -0.68
     flourish
    -0.67
    ð
    -0.67
    inav
    -0.67
    osion
    -0.67
     Franch
    -0.66
     SetTextColor
    -0.65
    POSITIVE LOGITS
     unsure
    1.01
     lucky
    0.88
     willing
    0.87
     interested
    0.86
     gonna
    0.83
     bothered
    0.80
     inclined
    0.79
     confident
    0.78
     undecided
    0.78
     unlucky
    0.77
    Activations Density 0.042%

    No Known Activations