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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. 20001
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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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    Negative Logits
    ãĤ¨ãĥ«
    -0.77
    æ©
    -0.73
     Caldwell
    -0.71
     Younger
    -0.68
     Sheep
    -0.67
    ãĤ¯
    -0.64
    raped
    -0.64
     Ples
    -0.64
     downt
    -0.63
     Ambro
    -0.63
    POSITIVE LOGITS
    indust
    0.81
     establishments
    0.78
     restaurants
    0.75
    omen
    0.74
     outlets
    0.73
     mogul
    0.70
    anooga
    0.69
    rers
    0.68
    uly
    0.67
     restaurant
    0.67
    Activations Density 0.040%

    No Known Activations