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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. 10-RES-JB
    11. 4806
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    Explanations

    names of famous figures or individuals

    oai_token-act-pair · gpt-3.5-turbo

    specific proper nouns and names in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     hemor
    -0.99
     eleph
    -0.95
    Þ
    -0.90
     tremend
    -0.86
     conflic
    -0.84
     millenn
    -0.81
     citiz
    -0.80
    ô
    -0.79
     mosqu
    -0.79
     occas
    -0.78
    POSITIVE LOGITS
    ovich
    1.10
    zinski
    1.06
    chuk
    1.03
    ius
    1.02
    neau
    1.02
    zos
    1.02
    anski
    1.02
    kson
    1.01
    iak
    1.00
    kowski
    0.99
    Activations Density 0.131%

    No Known Activations