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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. 15647
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    Explanations

    informational content related to police investigations, appeals for information, and rewards for details

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating requests for information or contact details in a law enforcement context

    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
     monopol
    -0.70
    BILL
    -0.70
    å¥
    -0.70
    obook
    -0.69
    1964
    -0.67
    Pin
    -0.67
     1933
    -0.64
    utterstock
    -0.64
    flo
    -0.63
     1928
    -0.63
    POSITIVE LOGITS
     contacted
    0.81
     confir
    0.75
     Investigators
    0.74
     enqu
    0.73
     spokesman
    0.71
     condolences
    0.69
     corrections
    0.69
    details
    0.69
     emailed
    0.68
     investigator
    0.68
    Activations Density 1.251%

    No Known Activations