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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. 11-RES-JB
    6. 15859
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    Explanations

    proper nouns, especially names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     simultane
    -0.36
    ãĢ
    -0.36
     thereafter
    -0.35
     prepar
    -0.35
     progressing
    -0.35
     subsequent
    -0.34
    ô
    -0.34
     laun
    -0.34
     newcom
    -0.33
     sevent
    -0.33
    POSITIVE LOGITS
    shaw
    0.36
    cia
    0.35
    quartered
    0.34
    DEN
    0.31
    pedia
    0.31
    iquette
    0.31
    pine
    0.31
    rary
    0.31
    zn
    0.30
    ppy
    0.29
    Activations Density 1.859%

    No Known Activations