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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. 4919
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    Explanations

    financial terms and concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to costs and expenses associated with different aspects of development and services

    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
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.96
    amera
    -0.85
    cffffcc
    -0.72
    yip
    -0.71
    heastern
    -0.68
    namese
    -0.68
    ministic
    -0.67
    ogyn
    -0.67
    akura
    -0.67
    yrinth
    -0.66
    POSITIVE LOGITS
    $.
    0.97
     expenses
    0.92
    .$
    0.83
     fees
    0.83
     goods
    0.82
    /$
    0.82
     rebate
    0.80
     necessities
    0.80
    $,
    0.77
     upkeep
    0.75
    Activations Density 0.623%

    No Known Activations