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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. 4-RES-JB
    6. 5891
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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 @ 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
     skelet
    -0.61
    aneous
    -0.60
    PM
    -0.60
     FAR
    -0.59
     tsunami
    -0.58
    ľ
    -0.56
     NCT
    -0.56
    oÄŁ
    -0.55
    Reply
    -0.55
     planted
    -0.55
    POSITIVE LOGITS
    oice
    0.86
    olor
    0.80
     Flavoring
    0.78
    ibrary
    0.77
    olkien
    0.75
    ihilation
    0.75
    vernment
    0.75
    redd
    0.74
    clair
    0.74
    iverpool
    0.73
    Activations Density 0.030%

    No Known Activations