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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. 9170
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    INDEX
    Explanations

    newspaper names

    oai_token-act-pair · gpt-3.5-turbo

    references to news publications

    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
    isSpecialOrderable
    -0.76
     "$:/
    -0.68
    stood
    -0.65
     silence
    -0.64
     beds
    -0.64
     bushes
    -0.62
     rounds
    -0.59
     check
    -0.59
    =>
    -0.59
    itatively
    -0.59
    POSITIVE LOGITS
    utterstock
    1.35
    imedia
    0.91
     Images
    0.89
    alyst
    0.86
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    0.82
    ynam
    0.79
     Shutterstock
    0.77
    ĺħ
    0.74
     Photo
    0.73
    NBC
    0.73
    Activations Density 0.069%

    No Known Activations