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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. 4769
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    Explanations

    specific terms related to legality or regulations, particularly those containing the substring "pro"

    oai_token-act-pair · gpt-3.5-turbo

    the prefix "pro," indicating support for various progressive or pro-choice concepts

    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
    ãĤ¼ãĤ¦ãĤ¹
    -0.81
     needles
    -0.77
     Twain
    -0.73
     Halls
    -0.72
     bedrooms
    -0.72
     spears
    -0.69
     strawberries
    -0.67
    hyde
    -0.66
    inia
    -0.66
    ĸļ
    -0.66
    POSITIVE LOGITS
    digy
    1.28
    blems
    1.27
    secut
    1.26
    ceed
    1.24
    secution
    1.17
    gressive
    1.11
    posal
    1.10
    bable
    1.08
    gression
    1.06
    cess
    1.01
    Activations Density 0.020%

    No Known Activations