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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. 10-RES-JB
    6. 22799
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    INDEX
    Explanations

    references to police, policing, or policies

    oai_token-act-pair · gpt-3.5-turbo

    words related to police or policing

    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
    INESS
    -0.64
    rers
    -0.64
    ELD
    -0.63
    uring
    -0.62
     Druid
    -0.61
    ------------
    -0.59
     receptor
    -0.59
     Apprentice
    -0.59
     Revel
    -0.58
    ========
    -0.57
    POSITIVE LOGITS
    itely
    1.28
    arity
    1.12
    anski
    1.06
    ishing
    1.03
    tical
    1.02
    isher
    1.02
    ished
    1.01
    ikarp
    0.99
    ishes
    0.99
    ishers
    0.98
    Activations Density 0.026%

    No Known Activations