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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. 7-RES-JB
    11. 21319
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    Explanations

    prepositions followed by a specific number or type of people or objects

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate being surrounded or accompanied by multiple entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raq
    -0.73
    aya
    -0.68
    Ĥİ
    -0.68
    quote
    -0.67
    yssey
    -0.67
    Leary
    -0.66
    iology
    -0.66
    ongyang
    -0.65
    geist
    -0.65
    thal
    -0.65
    POSITIVE LOGITS
     dozens
    0.80
     hordes
    0.74
     Geh
    0.71
    products
    0.67
     dots
    0.67
     cheers
    0.67
     fellow
    0.66
     dign
    0.66
    ++++
    0.66
     numerous
    0.66
    Activations Density 0.077%

    No Known Activations