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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. 6-RES-JB
    11. 435
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    Explanations

    references to watches, timepieces, and watch-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to watches and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reviewer
    -0.86
    «ĺ
    -0.73
     congr
    -0.71
    EngineDebug
    -0.68
    Interstitial
    -0.62
    arthed
    -0.62
    姫
    -0.62
    emia
    -0.61
    ¬¼
    -0.61
     chemotherapy
    -0.60
    POSITIVE LOGITS
    tower
    1.36
    dogs
    1.22
    dog
    1.12
    watch
    0.99
    points
    0.91
    list
    0.89
    point
    0.88
    strap
    0.87
    maker
    0.87
    marks
    0.86
    Activations Density 0.038%

    No Known Activations