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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. 7-RES-JB
    6. 15828
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rated
    -0.95
    instead
    -0.79
    Reply
    -0.71
    Atl
    -0.71
    çİĭ
    -0.70
    ITH
    -0.67
    KEN
    -0.66
    }.
    -0.64
     ______
    -0.64
    OTH
    -0.64
    POSITIVE LOGITS
     caveats
    0.72
     disclaimer
    0.71
     arrests
    0.66
     announcements
    0.65
     nods
    0.64
     occasional
    0.64
     exceptions
    0.64
     additions
    0.64
     shuffle
    0.63
     perks
    0.62
    Activations Density 0.316%

    No Known Activations