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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. 0-RES-JB
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    Explanations

    terms related to government bureaus and institutions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "bureau"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tokens
    -0.67
    emonic
    -0.64
     Static
    -0.62
     Lol
    -0.60
     Humans
    -0.59
     Sacrifice
    -0.59
     Ric
    -0.59
     Sn
    -0.58
     Del
    -0.58
     Lethal
    -0.58
    POSITIVE LOGITS
     bureau
    4.00
     Bureau
    1.40
     agency
    1.35
     department
    1.25
    ureau
    1.09
     consulate
    1.02
     correspondent
    0.99
     desk
    0.98
     agencies
    0.97
     commission
    0.97
    Activations Density 0.005%

    No Known Activations