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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. 5-RES-JB
    6. 13704
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    Explanations

    words related to neutrality

    oai_token-act-pair · gpt-3.5-turbo

    references to neutrality and neutral perspectives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.96
     millenn
    -0.81
    Mill
    -0.78
    INFO
    -0.77
    HAEL
    -0.74
    Hop
    -0.74
    Amazing
    -0.72
    URE
    -0.72
    Bio
    -0.71
    URES
    -0.71
    POSITIVE LOGITS
    izing
    1.04
    izers
    1.02
    ization
    1.02
    izer
    0.96
    izes
    0.95
    utral
    0.91
    ité
    0.90
    ize
    0.89
    ized
    0.85
     neutral
    0.85
    Activations Density 0.017%

    No Known Activations