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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 10420
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    Explanations

    information related to published works, articles, and comments

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the act of writing and publishing

    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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    No Comments

    Negative Logits
    amina
    -0.66
     Nato
    -0.60
     decre
    -0.54
    amac
    -0.52
    ',"
    -0.51
    aceae
    -0.51
    eering
    -0.51
    estate
    -0.50
    aila
    -0.49
     disadvant
    -0.49
    POSITIVE LOGITS
     reader
    0.92
     archive
    0.86
    Reader
    0.85
     publication
    0.84
     editor
    0.83
     readers
    0.81
     blog
    0.80
     plagiar
    0.77
     Readers
    0.76
    archive
    0.76
    Activations Density 1.948%

    No Known Activations