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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. 10-RES-JB
    6. 11102
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    Explanations

    references to designers or collaboration with designers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of designers and design-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.82
    ilitary
    -0.82
    ieri
    -0.70
     jurisdictions
    -0.66
    kefeller
    -0.65
     revocation
    -0.64
    tein
    -0.63
     FEC
    -0.62
    cffffcc
    -0.62
    croft
    -0.62
    POSITIVE LOGITS
    urally
    1.02
     designing
    0.87
    paces
    0.86
     designer
    0.83
     extraord
    0.83
     Photoshop
    0.81
    yout
    0.80
     designers
    0.79
    fab
    0.76
     Studio
    0.75
    Activations Density 0.054%

    No Known Activations