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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 3644
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    INDEX
    Explanations

    crime-related events such as shootings, killings, injuries, and police responses

    oai_token-act-pair · gpt-3.5-turbo

    references to violent incidents or casualties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     fulfil
    -0.69
     ç¥ŀ
    -0.69
     philosophers
    -0.67
    papers
    -0.66
     pse
    -0.66
     intellectuals
    -0.64
     prag
    -0.64
     guaranteeing
    -0.64
     univers
    -0.63
     Tolkien
    -0.63
    POSITIVE LOGITS
     RCMP
    0.85
     Investigators
    0.84
     NYPD
    0.83
    Police
    0.83
    police
    0.80
     detectives
    0.80
     LAPD
    0.80
     juveniles
    0.78
     police
    0.78
     Police
    0.77
    Activations Density 1.683%

    No Known Activations