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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 4431
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    Explanations

    phrases related to specific actions or events

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to various types of applications or significant events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Haram
    -0.64
     Hots
    -0.63
     Flavoring
    -0.63
     Important
    -0.61
     Answer
    -0.57
     Pist
    -0.56
    iatus
    -0.56
     Quote
    -0.56
     Conclusion
    -0.55
    BIP
    -0.55
    POSITIVE LOGITS
    lessly
    0.84
    less
    0.81
    able
    0.79
    ably
    0.72
     lounge
    0.69
    rooms
    0.68
    boards
    0.67
    room
    0.67
    ware
    0.67
    abal
    0.66
    Activations Density 0.848%

    No Known Activations