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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. 11-RES-JB
    11. 2509
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    INDEX
    Explanations

    economic and business-related terms

    oai_token-act-pair · gpt-3.5-turbo

    key financial terms and metrics related to business activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     eleph
    -0.84
     nodd
    -0.79
     seiz
    -0.75
     neighb
    -0.73
     pione
    -0.72
     tremend
    -0.71
     coh
    -0.68
    Þ
    -0.66
     confir
    -0.66
     practition
    -0.65
    POSITIVE LOGITS
    ,-
    0.97
    ,,
    0.96
    ,
    0.89
    ,.
    0.86
    ,...
    0.86
    Merit
    0.84
    .,
    0.74
    ,,,,,,,,
    0.74
    idon
    0.72
    uron
    0.68
    Activations Density 0.060%

    No Known Activations