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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. 9035
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    Explanations

    information related to crime, accidents, emergencies, and details surrounding specific events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    events related to violent incidents or crime

    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
    TPP
    -0.72
     disadvant
    -0.68
     hegemony
    -0.68
     innov
    -0.65
     incumb
    -0.64
     monopol
    -0.63
     stagn
    -0.62
     Thiel
    -0.62
     obsolete
    -0.61
     TPP
    -0.60
    POSITIVE LOGITS
    police
    1.13
    Police
    1.12
     police
    1.06
     eyewitness
    1.05
     coroner
    1.04
     Police
    1.02
     detectives
    1.01
    Authorities
    1.00
    ewitness
    0.99
    Investigators
    0.96
    Activations Density 1.049%

    No Known Activations