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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. 11-RES-JB
    11. 23836
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    Explanations

    references to medical studies or experiments involving participants

    oai_token-act-pair · gpt-3.5-turbo

    references to study participants and their experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    minster
    -0.81
    INESS
    -0.72
    Bound
    -0.68
    Ü
    -0.68
    HCR
    -0.64
    NetMessage
    -0.64
    FK
    -0.64
     Rebellion
    -0.63
    RAY
    -0.63
    Dub
    -0.61
    POSITIVE LOGITS
     randomly
    1.21
     randomized
    1.17
     videot
    1.12
     anonymously
    1.04
     underwent
    1.04
     administered
    1.02
     questionnaire
    1.00
     rated
    0.99
     participated
    0.96
     orally
    0.95
    Activations Density 0.162%

    No Known Activations