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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. 23946
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    Explanations

    financial and economic terms and metrics

    oai_token-act-pair · gpt-3.5-turbo

    financial performance metrics and economic statistics

    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
    Not in Any Lists

    No Comments

    Negative Logits
    isner
    -0.84
     horm
    -0.67
     trope
    -0.61
     godd
    -0.60
    hood
    -0.59
     prism
    -0.59
     parad
    -0.58
    sonian
    -0.57
    !/
    -0.56
     indo
    -0.56
    POSITIVE LOGITS
     227
    0.91
     339
    0.90
     161
    0.90
     ¥
    0.89
     153
    0.88
     âĤ¬
    0.88
     163
    0.87
     417
    0.87
     282
    0.87
     354
    0.86
    Activations Density 0.248%

    No Known Activations