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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. 22284
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    INDEX
    Explanations

    locations or places where businesses or offices are setting up

    oai_token-act-pair · gpt-3.5-turbo

    locations mentioned in the text

    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
    catentry
    -0.71
     inval
    -0.69
    ional
    -0.67
    fters
    -0.66
     tallied
    -0.64
    sem
    -0.63
    sle
    -0.63
    tar
    -0.63
     contag
    -0.62
    graph
    -0.61
    POSITIVE LOGITS
     lieu
    1.26
     conjunction
    1.19
     accordance
    1.18
    roads
    1.06
    efficiency
    1.05
    patient
    1.02
     vitro
    0.99
     Melbourne
    0.98
     Cincinnati
    0.98
     Frankfurt
    0.95
    Activations Density 0.300%

    No Known Activations