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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. 9-RES-JB
    11. 17998
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    INDEX
    Explanations

    names of researchers and authors in scientific papers

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals and institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Confederate
    -0.82
     NASCAR
    -0.74
     pageant
    -0.74
     cowboy
    -0.74
    Interstitial
    -0.74
     Thanksgiving
    -0.73
     Baton
    -0.73
     spitting
    -0.71
     POLITICO
    -0.71
     tape
    -0.69
    POSITIVE LOGITS
    ijn
    1.32
    ijk
    1.15
    å
    1.11
     Zhang
    1.11
    ÅĤ
    1.08
     Xu
    1.06
     Canaver
    1.02
    oslav
    1.01
    ür
    0.98
     Liu
    0.98
    Activations Density 0.417%

    No Known Activations