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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. 9-RES-JB
    6. 18747
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    Explanations

    information related to criminal investigations, incidents, and law enforcement activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to criminal investigations and law enforcement activities

    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
    inav
    -0.81
     persu
    -0.77
     disadvant
    -0.75
     fulfil
    -0.72
     shrew
    -0.72
     reckoning
    -0.69
     ingen
    -0.68
     defeats
    -0.67
     monopoly
    -0.67
     systematically
    -0.66
    POSITIVE LOGITS
    Investigators
    1.11
    APD
    1.07
     detectives
    1.01
    Police
    1.01
     Investigators
    1.00
    Stay
    0.98
    Alert
    0.95
    Authorities
    0.95
    Detect
    0.91
    police
    0.91
    Activations Density 0.780%

    No Known Activations