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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. 739
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    Explanations

    phrases related to food and ingredients

    oai_token-act-pair · gpt-3.5-turbo

    social media engagement metrics and indicators

    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
     conclud
    -0.33
    ãĥ¼ãĥĨ
    -0.32
    çIJ
    -0.32
     guiActiveUn
    -0.31
    ilib
    -0.30
     pione
    -0.29
    orld
    -0.29
    Orderable
    -0.29
    senal
    -0.29
     exting
    -0.29
    POSITIVE LOGITS
    inventoryQuantity
    0.34
    natureconservancy
    0.33
     âĢº
    0.29
    DragonMagazine
    0.29
    Ĥİ
    0.28
     alot
    0.27
    idae
    0.27
     nudity
    0.26
    genre
    0.26
    aceae
    0.26
    Activations Density 2.882%

    No Known Activations