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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. 4817
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    Explanations

    mentions of specific organizations, particularly companies like General Motors, General Electric, and Siemens

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    mentions of "General" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    ouses
    -0.60
     surrog
    -0.58
     sensitive
    -0.56
     pirates
    -0.55
     contro
    -0.54
    ologies
    -0.54
     hous
    -0.53
     comparatively
    -0.53
     unsc
    -0.53
     creatively
    -0.53
    POSITIVE LOGITS
     Motors
    1.22
     Electric
    1.01
     Dynamics
    0.94
     Assembly
    0.90
     Accounting
    0.87
     Mills
    0.81
     Purpose
    0.80
     Services
    0.79
     Counsel
    0.77
     Authorities
    0.76
    Activations Density 0.012%

    No Known Activations