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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. 2-RES-JB
    11. 18882
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    Explanations

    specific names or mentions of the name "Rin"

    oai_token-act-pair · gpt-3.5-turbo

    the last names of individuals mentioned in the document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Hurricanes
    -0.82
    eatures
    -0.73
     fundament
    -0.68
     accur
    -0.65
     fateful
    -0.64
     intelligent
    -0.63
     smart
    -0.63
     arrang
    -0.63
    sites
    -0.62
     bargaining
    -0.62
    POSITIVE LOGITS
    rin
    1.17
    ned
    0.99
    ners
    0.94
    ivas
    0.93
    ja
    0.92
    ergic
    0.92
    åĤ
    0.90
    quin
    0.86
    ner
    0.86
    stal
    0.84
    Activations Density 0.008%

    No Known Activations