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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 21242
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    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people

    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
    tumblr
    -0.80
    âĹ¼
    -0.76
    pread
    -0.67
     satell
    -0.67
     manoeuv
    -0.65
    ð
    -0.65
    reddit
    -0.65
     bandwagon
    -0.65
    Spoiler
    -0.64
     womb
    -0.64
    POSITIVE LOGITS
     Walsh
    1.02
     Chapman
    1.02
     Clayton
    0.97
     Cunningham
    0.95
     Becker
    0.93
     Hawkins
    0.93
     Walters
    0.92
     Cummings
    0.92
     Martinez
    0.92
     Barber
    0.91
    Activations Density 0.209%

    No Known Activations