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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. 2010
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    Explanations

    numbers related to financial figures

    oai_token-act-pair · gpt-3.5-turbo

    financial values and budget-related terms in a document

    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
    iquette
    -0.82
    Interview
    -0.72
     Indust
    -0.70
    kaya
    -0.69
    Ħ¢
    -0.68
     Brit
    -0.66
    beit
    -0.66
    amous
    -0.65
    bell
    -0.64
     Lonely
    -0.63
    POSITIVE LOGITS
     appropriations
    1.65
     Appropriations
    1.39
     appropriation
    1.39
     appropriated
    1.39
     funds
    1.36
     funding
    1.36
     reimburse
    1.36
     budget
    1.31
     budgetary
    1.29
     discretionary
    1.26
    Activations Density 0.601%

    No Known Activations