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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. 8-RES-JB
    11. 11476
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    Explanations

    names or terms related to various individuals or characters

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and terms related to people or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.73
    advertisement
    -0.64
    URA
    -0.61
    psons
    -0.59
    ritch
    -0.57
    iland
    -0.56
    riks
    -0.55
    sworth
    -0.54
    pace
    -0.53
     subtract
    -0.52
    POSITIVE LOGITS
    aroo
    0.90
    zona
    0.70
    azz
    0.65
     Detention
    0.65
    ĵĺ
    0.63
     Admission
    0.62
     iTunes
    0.61
    hani
    0.61
    levard
    0.61
    owitz
    0.61
    Activations Density 0.084%

    No Known Activations