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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. 11-RES-JB
    11. 21123
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    Explanations

    mentions of someone's childhood or youth

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to childhood or being young

    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
    itton
    -0.79
    imates
    -0.71
    amia
    -0.67
    agnar
    -0.66
     EDITION
    -0.65
    cation
    -0.64
    heses
    -0.64
    ayers
    -0.63
     subreddits
    -0.62
     Canaver
    -0.61
    POSITIVE LOGITS
     teenager
    1.72
     kid
    1.66
     youngster
    1.54
     child
    1.44
     toddler
    1.40
     teen
    1.39
     young
    1.29
     youth
    1.27
     boy
    1.22
     adolescent
    1.19
    Activations Density 0.116%

    No Known Activations