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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. 4-RES-JB
    11. 2957
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    Explanations

    keywords related to government actions or legal matters

    oai_token-act-pair · gpt-3.5-turbo

    references to government actions and policies

    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
     Tome
    -0.79
    CONT
    -0.76
    tom
    -0.74
    sbm
    -0.73
     Daylight
    -0.69
    ussen
    -0.67
     Plate
    -0.67
    lihood
    -0.67
     Velocity
    -0.66
     Width
    -0.65
    POSITIVE LOGITS
     Accountability
    1.02
     agencies
    1.02
     shutdown
    1.00
     bureaucracy
    0.99
     agency
    0.94
     watchdog
    0.90
     contractor
    0.90
     funded
    0.88
     subsidized
    0.87
    arily
    0.84
    Activations Density 0.047%

    No Known Activations