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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 16993
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    Explanations

    individuals being arrested for various reasons

    oai_token-act-pair · gpt-3.5-turbo

    instances of arrests and related legal actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Remastered
    -0.75
    surv
    -0.75
     Surviv
    -0.74
     survives
    -0.69
     survival
    -0.68
    Tokens
    -0.67
    Surv
    -0.67
    isSpecialOrderable
    -0.67
     surviv
    -0.66
    fortune
    -0.65
    POSITIVE LOGITS
     suspicion
    1.11
     suspected
    1.01
     arra
    1.00
     tresp
    0.95
     DUI
    0.93
     felony
    0.92
     Arrest
    0.86
     misdemeanor
    0.84
     allegedly
    0.83
     undercover
    0.82
    Activations Density 0.213%

    No Known Activations