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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. 12-RES-JB
    11. 4838
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    INDEX
    Explanations

    specific mentions of the product "Sonastand"

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    brand names and product mentions

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Pryor
    -1.05
     Dru
    -1.01
     PK
    -0.93
     Ning
    -0.91
     Nak
    -0.91
     Dai
    -0.90
     neg
    -0.90
     Nish
    -0.90
     Purple
    -0.89
     Dil
    -0.88
    POSITIVE LOGITS
    ast
    1.49
    AST
    1.21
    aston
    1.12
     Bast
    1.08
    ost
    1.08
    ust
    1.08
    rest
    1.07
    mast
    1.06
    asts
    1.06
    eston
    1.06
    Activations Density 0.382%

    No Known Activations