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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    the word "wich"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific locations, particularly towns and cities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     meg
    -0.66
    cycl
    -0.65
    izations
    -0.63
     Lux
    -0.61
     Olympia
    -0.61
     Lex
    -0.61
     recy
    -0.60
     fastest
    -0.60
     mega
    -0.58
     Eclipse
    -0.58
    POSITIVE LOGITS
    edin
    2.43
    wich
    2.39
    wall
    1.34
    ranch
    1.32
    DEN
    1.31
    later
    1.09
    few
    1.09
     Bauer
    1.08
    pox
    0.99
    nel
    0.99
    Activations Density 0.036%

    No Known Activations