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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. 0-RES-JB
    11. 13052
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    Explanations

    phrases containing variations of the term "PH"

    oai_token-act-pair · gpt-3.5-turbo

    references to visual media or photography

    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
     Airl
    -0.74
     labels
    -0.67
     sett
    -0.66
     bloc
    -0.64
     dub
    -0.62
     maker
    -0.61
     seams
    -0.61
     tent
    -0.60
    aneously
    -0.60
     Bundes
    -0.59
    POSITIVE LOGITS
    PH
    4.37
    ph
    1.66
    RH
    1.61
     PH
    1.58
    Ph
    1.44
    phe
    1.34
    PORT
    1.29
    php
    1.27
    APH
    1.23
    PS
    1.18
    Activations Density 0.013%

    No Known Activations