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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. 4-RES-JB
    11. 6828
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    oai_token-act-pair · gpt-3.5-turbo

    references to historical time periods or eras

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    liga
    -0.91
    olulu
    -0.88
    sie
    -0.86
     mathemat
    -0.83
    eneg
    -0.81
    iversal
    -0.80
    enth
    -0.78
    swer
    -0.76
    ers
    -0.75
    cards
    -0.75
    POSITIVE LOGITS
    BILITY
    0.74
    era
    0.73
    ffiti
    0.67
    Äĩ
    0.65
    isons
    0.63
    fters
    0.62
    ocide
    0.61
     Antiqu
    0.60
    ption
    0.59
     Era
    0.59
    Activations Density 0.010%

    No Known Activations