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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. 7-RES-JB
    11. 11210
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    Explanations

    time periods and deadlines

    oai_token-act-pair · gpt-3.5-turbo

    temporal references related to deadlines and durations

    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
     heights
    -0.70
    TYPE
    -0.65
    eus
    -0.62
    warts
    -0.59
    cember
    -0.59
     fraternity
    -0.59
     MFT
    -0.58
    inav
    -0.57
    encrypted
    -0.55
    mson
    -0.55
    POSITIVE LOGITS
     elapsed
    0.97
     ago
    0.88
     pause
    0.80
    manship
    0.78
     hiatus
    0.78
     spare
    0.78
     apiece
    0.76
     chance
    0.75
     lapse
    0.75
    icum
    0.75
    Activations Density 0.093%

    No Known Activations