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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. 6-RES-JB
    6. 8585
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    Explanations

    phrases related to being arrested or charged with violations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal issues and crime

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nos
    -0.80
    20439
    -0.65
    jas
    -0.60
    dit
    -0.58
    oris
    -0.56
     Koh
    -0.56
     Levi
    -0.55
    john
    -0.54
    idas
    -0.54
     Martian
    -0.53
    POSITIVE LOGITS
    izoph
    0.73
    ificate
    0.67
    tein
    0.64
    ulent
    0.63
    unia
    0.62
    netflix
    0.61
     Citadel
    0.61
    zilla
    0.59
    wright
    0.59
    anooga
    0.58
    Activations Density 0.402%

    No Known Activations