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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. 16731
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    Explanations

    phrases indicating decisions made in the best interest of someone or a community

    oai_token-act-pair · gpt-3.5-turbo

    phrases relating to the concept of "best interests."

    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
    OHN
    -0.69
    otomy
    -0.66
    uesday
    -0.66
     Flavoring
    -0.62
    CRIP
    -0.62
    VB
    -0.60
    mbuds
    -0.60
    cair
    -0.58
    sembly
    -0.57
    Buzz
    -0.56
    POSITIVE LOGITS
     realm
    0.93
     forefront
    0.91
     nature
    0.88
     vein
    0.83
     minds
    0.83
     midst
    0.81
     infancy
    0.81
     hands
    0.81
     pockets
    0.79
     interests
    0.79
    Activations Density 0.279%

    No Known Activations