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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. 5-RES-JB
    6. 18563
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    Explanations

    mentions of the city of Berkeley

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of Berkeley

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ugu
    -0.78
    ivably
    -0.78
    oire
    -0.76
    orship
    -0.71
    istration
    -0.69
    mble
    -0.67
    meaning
    -0.66
    inventory
    -0.66
    title
    -0.65
    ACTED
    -0.65
    POSITIVE LOGITS
    keley
    1.22
     Berkeley
    0.95
     Unified
    0.86
     Heights
    0.82
    shire
    0.79
     Grounds
    0.77
     Nig
    0.75
     Marina
    0.73
     Extension
    0.71
     Hills
    0.71
    Activations Density 0.011%

    No Known Activations