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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. 10848
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    Explanations

    phrases related to investigative or military activities

    oai_token-act-pair · gpt-3.5-turbo

    references to law enforcement or incidents related to authority

    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
     Same
    -0.83
    Same
    -0.78
     Similar
    -0.74
    quickShipAvailable
    -0.70
    glers
    -0.70
    oother
    -0.67
    helps
    -0.67
     TOD
    -0.67
     Variant
    -0.66
     Lots
    -0.63
    POSITIVE LOGITS
     utterly
    0.94
    iless
    0.86
     scarcely
    0.85
     unparalleled
    0.83
     brilliantly
    0.83
     hitherto
    0.81
     effortlessly
    0.80
     decisively
    0.79
     forty
    0.79
     Auschwitz
    0.79
    Activations Density 1.317%

    No Known Activations