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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. 23560
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    Explanations

    words related to analysis, investigation, or reporting

    oai_token-act-pair · gpt-3.5-turbo

    distinct segments of text representing Pokémon species

    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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    No Comments

    Negative Logits
    ãĥ¼ãĥĨ
    -0.57
    abul
    -0.52
    itto
    -0.52
    sheets
    -0.51
     Vaugh
    -0.51
    Versions
    -0.51
    aturdays
    -0.51
    renheit
    -0.50
    aky
    -0.50
    herer
    -0.50
    POSITIVE LOGITS
     largeDownload
    0.62
     Reply
    0.61
     Allaah
    0.61
     thee
    0.59
    ¶
    0.56
     english
    0.55
     Shinji
    0.53
     ):
    0.53
     heterogeneity
    0.52
     RELEASE
    0.52
    Activations Density 0.776%

    No Known Activations