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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. 18889
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    Explanations

    proper nouns of people's names

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals, particularly surnames and title-like descriptors

    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
    ADRA
    -0.74
    Xi
    -0.73
    Plex
    -0.72
     disparate
    -0.68
    Tokens
    -0.67
    fuel
    -0.65
     demoral
    -0.64
     overwhelming
    -0.62
    excluding
    -0.61
    depending
    -0.61
    POSITIVE LOGITS
     Jr
    1.32
     (@
    1.03
     Sr
    0.99
     III
    0.97
     writes
    0.96
     wrote
    0.93
     MD
    0.93
    witz
    0.86
     QC
    0.86
     Random
    0.85
    Activations Density 0.246%

    No Known Activations