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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. 12-RES-JB
    11. 4524
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    Explanations

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    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases and concepts related to training and education

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Ĥİ
    -0.73
    ventory
    -0.72
    rency
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    osi
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    ionage
    -0.68
    ophone
    -0.66
    olls
    -0.65
    arty
    -0.63
    510
    -0.63
    idence
    -0.63
    POSITIVE LOGITS
     wheels
    1.04
     exercises
    1.00
     manuals
    0.98
     sessions
    0.97
     regimen
    0.95
     camps
    0.93
     acad
    0.93
     courses
    0.92
     mont
    0.91
     academy
    0.89
    Activations Density 0.051%

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