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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 18478
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    Explanations

    company names and technology-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific brands and products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     understandably
    -0.63
     Fallout
    -0.58
     arrogance
    -0.57
     indeed
    -0.57
     hypocrisy
    -0.57
     animosity
    -0.56
     neocons
    -0.56
     Gamergate
    -0.55
     urge
    -0.55
     praises
    -0.55
    POSITIVE LOGITS
    emale
    0.70
    eva
    0.70
    .).
    0.69
    )).
    0.69
    adra
    0.69
     thereof
    0.69
    etc
    0.68
    ocity
    0.68
    ãĤ©
    0.67
     etc
    0.67
    Activations Density 0.743%

    No Known Activations