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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. 7-RES-JB
    6. 21931
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    Explanations

    words related to people's names, particularly focusing on names that start with a capital letter and consist of two parts

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and character names in a movie or narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ashtra
    -0.75
    FML
    -0.74
    estinal
    -0.74
    urches
    -0.74
    REL
    -0.73
    yrinth
    -0.69
    olesterol
    -0.67
    ICAN
    -0.66
    eele
    -0.65
     HDL
    -0.65
    POSITIVE LOGITS
    Ott
    0.79
    Redditor
    0.74
    hardt
    0.73
    bye
    0.69
    theless
    0.68
     Wax
    0.65
    mot
    0.64
    woods
    0.64
    leaf
    0.63
     Toad
    0.63
    Activations Density 0.349%

    No Known Activations