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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. 16911
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    Explanations

    names and terms related to specific individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals and 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
    IBLE
    -0.95
    天
    -0.77
    xual
    -0.76
    Ö¼
    -0.75
    ional
    -0.74
    ãĥ¼ãĥĨãĤ£
    -0.73
    phrine
    -0.73
    iments
    -0.71
    ilogy
    -0.65
    ibly
    -0.65
    POSITIVE LOGITS
    lein
    0.89
    patrick
    0.88
    won
    0.84
    lyak
    0.84
    lar
    0.82
    ernel
    0.82
    laus
    0.81
    istani
    0.81
    lov
    0.80
    inski
    0.76
    Activations Density 0.123%

    No Known Activations