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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. 5552
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    Explanations

    technological terms specifically related to X technology

    oai_token-act-pair · gpt-3.5-turbo

    references to the letter "X" or related terms

    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
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    Negative Logits
    brance
    -0.71
    ufact
    -0.66
    heit
    -0.64
    steen
    -0.64
    ãĤ¦ãĤ¹
    -0.64
     Sergeant
    -0.63
     Osw
    -0.62
    ADVERTISEMENT
    -0.62
    enance
    -0.62
    bender
    -0.62
    POSITIVE LOGITS
    reme
    0.96
    onential
    0.78
    Large
    0.78
    thur
    0.78
    ©¶æ
    0.75
    modules
    0.74
    ophon
    0.71
    Pacific
    0.68
    xes
    0.68
    uni
    0.67
    Activations Density 0.186%

    No Known Activations