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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. 9-RES-JB
    11. 3583
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    Explanations

    references to government departments or agencies

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "Department of" followed by various government departments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ô
    -0.70
     crate
    -0.67
    NetMessage
    -0.65
     autop
    -0.62
     scenarios
    -0.62
     verses
    -0.62
    Õ
    -0.61
     fro
    -0.61
    åŃIJ
    -0.61
     emot
    -0.60
    POSITIVE LOGITS
     Agriculture
    1.20
     Transportation
    1.18
     Commerce
    1.14
     Justice
    1.13
     Homeland
    1.08
     Defense
    1.02
     Education
    1.01
     Revenue
    0.99
     Energy
    0.99
     Corrections
    0.98
    Activations Density 0.031%

    No Known Activations