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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. 9-RES-JB
    11. 5850
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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
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    Negative Logits
     seiz
    -0.75
     microphones
    -0.65
    lihood
    -0.64
     Guan
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     Samoa
    -0.59
     Investor
    -0.56
     Kab
    -0.54
     Levi
    -0.54
     enthusi
    -0.53
     Nun
    -0.53
    POSITIVE LOGITS
    ivas
    0.69
    ãħĭ
    0.65
    ivia
    0.64
    _{
    0.63
    rive
    0.62
    olkien
    0.62
    avy
    0.60
    Ì
    0.60
    ÙĦ
    0.58
    cend
    0.57
    Activations Density 0.403%

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