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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. 9-RES-JB
    11. 1610
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    Explanations

    phrases related to names, potentially involving characters from diverse backgrounds

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases related to the human body or physical characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Warrant
    -0.58
     wi
    -0.55
     ramps
    -0.55
    BOOK
    -0.55
     Rica
    -0.54
     ranked
    -0.54
     lawy
    -0.54
     Morrow
    -0.53
     Kendrick
    -0.52
     yo
    -0.52
    POSITIVE LOGITS
    essage
    1.39
    useum
    1.31
    obile
    1.26
    ovie
    1.21
    achine
    1.20
    ilitary
    1.17
    aceutical
    1.14
    obiles
    1.09
    ichael
    1.07
    obil
    1.07
    Activations Density 0.088%

    No Known Activations