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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. 11864
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    Explanations

    terms related to Japanese culture, specifically focusing on the concept of "karoshi" which means death by overwork

    oai_token-act-pair · gpt-3.5-turbo

    references to specific cultural or social issues related to Japan

    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
     Accountability
    -0.92
     Opportun
    -0.92
     Lines
    -0.86
     Yard
    -0.85
     Breed
    -0.84
     Tracker
    -0.81
     Sett
    -0.81
     Lot
    -0.80
     Atmosp
    -0.80
     Rocks
    -0.78
    POSITIVE LOGITS
    ensis
    1.25
    Äĵ
    0.99
    otic
    0.92
    @
    0.88
    á¹
    0.85
    hd
    0.85
    acters
    0.84
    á¸
    0.82
    oots
    0.82
    hs
    0.82
    Activations Density 0.324%

    No Known Activations