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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. 11003
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    Explanations

    things that have a minimal impact or effect

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express insufficiency or inadequate outcomes

    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
    jected
    -0.72
    opened
    -0.70
     Mastery
    -0.69
     Fever
    -0.69
    urated
    -0.68
    ãĤ¦ãĤ¹
    -0.64
    held
    -0.62
     cracked
    -0.61
     Cutter
    -0.61
    athered
    -0.59
    POSITIVE LOGITS
     grunt
    0.85
     homework
    0.81
     injustice
    0.75
     harm
    0.75
     chores
    0.73
     justice
    0.72
    research
    0.71
     outreach
    0.71
     thing
    0.70
     job
    0.69
    Activations Density 0.133%

    No Known Activations