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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 9881
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    Explanations

    mentions of the word "federal" in the context of legal or governmental discussions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of federal laws and regulations

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

    No Comments

    Negative Logits
    lihood
    -0.92
    zzo
    -0.87
    enger
    -0.85
     Clever
    -0.80
     Rooms
    -0.79
    sbm
    -0.77
    Maker
    -0.76
     Tycoon
    -0.74
    Dog
    -0.73
    Wo
    -0.72
    POSITIVE LOGITS
     government
    1.05
     agencies
    1.01
     appellate
    1.01
     agency
    0.93
     authorities
    0.93
     oversight
    0.89
     law
    0.87
     dollars
    0.87
     jurisdiction
    0.87
     legislation
    0.86
    Activations Density 0.029%

    No Known Activations