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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 13052
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    INDEX
    Explanations

    mentions of budget-related terms and discussions in text passages

    oai_token-act-pair · gpt-3.5-turbo

    mentions of budget-related topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kai
    -0.84
    ITH
    -0.72
     Jericho
    -0.72
    Magikarp
    -0.68
    urtles
    -0.68
     Jem
    -0.66
    "]=>
    -0.66
    Ring
    -0.66
    Pie
    -0.66
     Wond
    -0.65
    POSITIVE LOGITS
     allocations
    1.01
     reconciliation
    0.93
     deficit
    0.92
     surplus
    0.90
     deficits
    0.90
     blueprint
    0.88
     expenditures
    0.83
     allocation
    0.81
     shortfall
    0.81
     rebate
    0.81
    Activations Density 0.028%

    No Known Activations