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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. 7-RES-JB
    11. 9511
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    Explanations

    large numerical values related to money transactions

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and financial figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    otos
    -0.74
    thood
    -0.65
    reason
    -0.65
    pload
    -0.64
    itiz
    -0.64
    ecast
    -0.62
     favourites
    -0.61
     refres
    -0.61
     cart
    -0.60
    lest
    -0.59
    POSITIVE LOGITS
     partName
    0.90
    [_
    0.85
     Estimated
    0.75
     Total
    0.72
     [-
    0.72
     Registered
    0.71
     [/
    0.70
     <-
    0.69
     ($
    0.69
    ahime
    0.69
    Activations Density 0.162%

    No Known Activations