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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. 6-RES-JB
    11. 14636
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    dates and numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    CN
    -0.73
    20439
    -0.73
     BF
    -0.72
    ãĥ¼ãĥĨ
    -0.67
    ãĥķãĤ¡
    -0.66
    accompan
    -0.65
     Horus
    -0.65
    DragonMagazine
    -0.61
    yout
    -0.61
     HRC
    -0.60
    POSITIVE LOGITS
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    0.71
    sterdam
    0.67
     strut
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    0.66
    utterstock
    0.66
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    0.65
    irk
    0.64
     reminis
    0.61
    verb
    0.60
    akedown
    0.59
    Activations Density 0.081%

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