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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. 10-RES-JB
    6. 1899
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    INDEX
    Explanations

    phrases related to various specific communities or groups

    oai_token-act-pair · gpt-3.5-turbo

    the word "in" and its frequency within context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enza
    -0.72
    Completed
    -0.64
    0000000000000000
    -0.63
    rifice
    -0.62
    :/
    -0.61
    ograms
    -0.61
    dule
    -0.60
    iris
    -0.60
    discrimination
    -0.57
    iour
    -0.57
    POSITIVE LOGITS
     academia
    1.35
     Silicon
    1.02
     circles
    0.98
     Congress
    0.97
     fandom
    0.94
     Europe
    0.93
     Washington
    0.93
    roads
    0.85
     forums
    0.83
     mainstream
    0.83
    Activations Density 0.191%

    No Known Activations