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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. 4-RES-JB
    11. 16828
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    Explanations

    mentions of organizations, groups, or entities, especially with a focus on responsibility or ethics

    oai_token-act-pair · gpt-3.5-turbo

    words associated with responsibility and ethical considerations

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

    No Comments

    Negative Logits
    etheless
    -0.84
     carbohyd
    -0.75
    elled
    -0.65
     ferment
    -0.63
     toget
    -0.62
     gobl
    -0.61
     mechanically
    -0.58
     captcha
    -0.58
    rams
    -0.58
     hem
    -0.58
    POSITIVE LOGITS
     Directory
    0.88
     Index
    0.88
     Solutions
    0.86
    haus
    0.86
     Therapy
    0.84
     Activities
    0.83
     Club
    0.82
     Works
    0.82
     Execution
    0.82
     Advis
    0.82
    Activations Density 0.521%

    No Known Activations