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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. 8-RES-JB
    11. 1827
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    Explanations

    specific actions or tasks related to various scenarios and contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to projects, actions, or proposals aimed at addressing social or health issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ALSO
    -0.73
     furthermore
    -0.68
    minist
    -0.64
    istrate
    -0.64
    also
    -0.63
     meanwhile
    -0.63
    APTER
    -0.62
    sylv
    -0.62
    autions
    -0.61
    nil
    -0.60
    POSITIVE LOGITS
     etc
    0.66
     toddlers
    0.61
     sidewalks
    0.60
     locks
    0.59
    uggest
    0.58
     or
    0.58
     chewing
    0.58
    (),
    0.57
     baker
    0.55
     dancers
    0.54
    Activations Density 0.692%

    No Known Activations