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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. 1-RES-JB
    11. 13904
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    Explanations

    terms related to financial allocations or budgeting

    oai_token-act-pair · gpt-3.5-turbo

    mentions of fiscal appropriations and funding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Oracle
    -0.82
    Hart
    -0.74
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.72
     Ther
    -0.72
    âĸ¬
    -0.71
    icle
    -0.71
    Phoenix
    -0.68
    hart
    -0.67
    oeuv
    -0.67
    âĸ¬âĸ¬
    -0.66
    POSITIVE LOGITS
     appropriations
    1.44
     Appropriations
    1.26
     appropriation
    1.24
    itures
    1.10
    xual
    0.99
     appropriated
    0.99
     subcommittee
    0.91
     agre
    0.88
    cffffcc
    0.87
     ende
    0.87
    Activations Density 0.009%

    No Known Activations