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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 2927
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    Explanations

    terms related to economic and financial matters, particularly focusing on budgeting

    oai_token-act-pair · gpt-3.5-turbo

    references to budget-related issues and legislation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dh
    -0.87
     Ran
    -0.77
     Bod
    -0.74
     Moor
    -0.72
     Wand
    -0.72
     Pont
    -0.71
     Lanc
    -0.71
     Kard
    -0.71
     Aur
    -0.70
     Sahara
    -0.69
    POSITIVE LOGITS
     appropriations
    1.05
    amacare
    1.05
     ObamaCare
    0.96
    clinton
    0.95
     defund
    0.95
     repeal
    0.91
     Obamacare
    0.90
     Appropriations
    0.90
    Republicans
    0.86
     iterations
    0.82
    Activations Density 0.298%

    No Known Activations