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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. 12-RES-JB
    11. 2679
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    Explanations

    references to watching or observing

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    instances of the word "watch" and its variations related to visual observation or viewing activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esan
    -0.87
    uti
    -0.82
    ãĥ´
    -0.79
    hesion
    -0.78
    ndra
    -0.74
    enos
    -0.71
    pmwiki
    -0.71
    eno
    -0.71
    ItemTracker
    -0.69
    isu
    -0.68
    POSITIVE LOGITS
     helpless
    1.05
     closely
    1.01
     unfold
    1.01
    dogs
    0.95
     videos
    0.95
     clips
    0.92
     television
    0.89
     TV
    0.87
    dog
    0.86
     cartoons
    0.86
    Activations Density 0.090%

    No Known Activations