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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. 11-RES-JB
    11. 21744
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    Explanations

    events or actions happening in a specific time frame

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    agan
    -0.65
    cheat
    -0.63
    conservancy
    -0.62
    wings
    -0.61
    idi
    -0.58
    equal
    -0.57
    zbollah
    -0.57
    $$$$
    -0.57
    advertisement
    -0.57
    oggles
    -0.57
    POSITIVE LOGITS
     there
    0.78
     everyone
    0.73
     Megan
    0.70
    ,
    0.69
     nobody
    0.68
     everybody
    0.68
     Mrs
    0.67
     Mr
    0.67
     Nash
    0.65
     Vincent
    0.64
    Activations Density 0.242%

    No Known Activations