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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. 11576
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    Explanations

    locations and activities related to law enforcement and public safety

    oai_token-act-pair · gpt-3.5-turbo

    recurring phrases related to location and presence in specific contexts

    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
    ¶æ
    -0.71
    immune
    -0.68
     inherit
    -0.65
    Impl
    -0.65
    ERROR
    -0.65
    DOM
    -0.65
    NOW
    -0.65
    ibur
    -0.64
    ŀ
    -0.64
    IJ
    -0.64
    POSITIVE LOGITS
     conjunction
    1.24
     downtown
    1.24
     lieu
    1.21
     accordance
    1.14
     Downtown
    1.06
     towns
    1.01
    patient
    1.00
     town
    0.99
     anticipation
    0.98
     unison
    0.98
    Activations Density 0.379%

    No Known Activations