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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. 8736
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    Explanations

    terms related to software or technical interfaces

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of interfaces

    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

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    Negative Logits
    ucks
    -0.90
    wagen
    -0.86
    omore
    -0.81
    onna
    -0.81
    hur
    -0.79
    fam
    -0.75
    oil
    -0.71
    sis
    -0.70
    yd
    -0.70
    nen
    -0.69
    POSITIVE LOGITS
     interface
    1.02
     interfaces
    1.00
     Interface
    0.88
     mund
    0.82
     layout
    0.82
    eering
    0.80
     elements
    0.79
     layouts
    0.78
     design
    0.76
    eers
    0.74
    Activations Density 0.026%

    No Known Activations