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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. 21336
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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 @ 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
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -1.00
    edin
    -0.76
    ãģ®éŃĶ
    -0.74
    DragonMagazine
    -0.72
    stanbul
    -0.70
    ãĤ¼ãĤ¦ãĤ¹
    -0.69
    neapolis
    -0.67
    ise
    -0.67
    ulture
    -0.66
    legraph
    -0.65
    POSITIVE LOGITS
     violating
    1.08
     sins
    1.01
     completing
    1.00
     complying
    0.99
     failing
    0.99
    bidden
    0.97
     defeating
    0.97
     inaction
    0.96
    gery
    0.95
     breaching
    0.94
    Activations Density 0.193%

    No Known Activations