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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 7634
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    Explanations

    phrases related to large amounts of money or sums

    oai_token-act-pair · gpt-3.5-turbo

    references to monetary amounts or financial sums

    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
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    Negative Logits
     livest
    -0.73
     Examiner
    -0.72
     Maj
    -0.71
     journals
    -0.63
     Archdemon
    -0.62
     Ce
    -0.61
    ENTS
    -0.61
     buildings
    -0.61
    onite
    -0.60
     Commons
    -0.60
    POSITIVE LOGITS
    cro
    0.85
    stick
    0.85
    uers
    0.84
    olation
    0.82
    atures
    0.82
    opl
    0.80
    impl
    0.79
    chest
    0.78
    kamp
    0.78
    widget
    0.77
    Activations Density 0.019%

    No Known Activations