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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. 8-RES-JB
    6. 8893
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    Explanations

    discussion of policies, goals, and agreements related to various sectors such as energy and environment

    oai_token-act-pair · gpt-3.5-turbo

    references to goals related to renewable energy and environmental policies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reddit
    -0.82
     gossip
    -0.81
     venom
    -0.75
     Weird
    -0.74
    tainment
    -0.74
     Conspiracy
    -0.73
     Reddit
    -0.73
     paranormal
    -0.72
     prank
    -0.71
     Youtube
    -0.71
    POSITIVE LOGITS
     reductions
    1.10
     deferred
    1.02
     fiscal
    1.00
     shortfall
    0.97
     budget
    0.94
    udget
    0.94
     incremental
    0.94
     budgetary
    0.93
     revised
    0.92
     Fiscal
    0.92
    Activations Density 1.388%

    No Known Activations