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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. 3-RES-JB
    11. 15994
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to scientific and technical materials or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ļéĨĴ
    -0.92
    76561
    -0.88
     independents
    -0.80
    Ire
    -0.77
    ggies
    -0.72
    ACP
    -0.69
    Jr
    -0.69
    iquette
    -0.69
    女
    -0.68
     condem
    -0.67
    POSITIVE LOGITS
     graphene
    0.94
     electrons
    0.84
     spacecraft
    0.81
     astronomers
    0.81
     atoms
    0.79
     physicists
    0.78
    âĢIJ
    0.78
     nanop
    0.78
     scientists
    0.76
    velength
    0.73
    Activations Density 0.775%

    No Known Activations