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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. 6-RES-JB
    11. 809
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    Explanations

    financial amounts

    oai_token-act-pair · gpt-3.5-turbo

    monetary amounts and financial figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Wid
    -0.64
    igrants
    -0.63
    akeru
    -0.63
    deen
    -0.62
    onga
    -0.61
     Fallen
    -0.61
    ItemThumbnailImage
    -0.60
    ittle
    -0.60
     citiz
    -0.56
     Rhodes
    -0.56
    POSITIVE LOGITS
    -$
    1.20
     billion
    1.06
     Billion
    1.05
     million
    0.97
    million
    0.93
    billion
    0.91
     trillion
    0.89
    bn
    0.87
    /$
    0.86
    200
    0.82
    Activations Density 0.095%

    No Known Activations