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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. 4-RES-JB
    6. 5303
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    Explanations

    words related to components or parts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to components within a technical or product context

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

    No Comments

    Negative Logits
    kers
    -0.81
    chie
    -0.76
    ker
    -0.73
    standing
    -0.72
    STER
    -0.70
    geon
    -0.69
    stretched
    -0.68
    Calling
    -0.67
    ield
    -0.66
    à¦
    -0.66
    POSITIVE LOGITS
     components
    1.10
     component
    0.96
     parts
    0.93
     Components
    0.92
     subsystem
    0.86
    onents
    0.84
     Component
    0.78
     additive
    0.76
    ancial
    0.75
     elements
    0.74
    Activations Density 0.011%

    No Known Activations