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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. 2-RES-JB
    11. 4076
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    Explanations

    keywords related to government finance, specifically focusing on state and local levels

    oai_token-act-pair · gpt-3.5-turbo

    references to local government or local entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -1.02
    issance
    -0.92
    gger
    -0.90
    haar
    -0.90
    ACTED
    -0.83
    lihood
    -0.80
    _-
    -0.80
    chery
    -0.79
    ÙĴ
    -0.78
    orst
    -0.77
    POSITIVE LOGITS
    ities
    0.86
     jurisdictions
    0.80
     governments
    0.78
    ized
    0.78
     residents
    0.77
    ised
    0.76
    ization
    0.75
     communities
    0.74
    idad
    0.74
    izations
    0.73
    Activations Density 0.025%

    No Known Activations