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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 11385
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    Explanations

    terms related to materials, equipment, and components

    oai_token-act-pair · gpt-3.5-turbo

    references to materials and equipment used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Zed
    -0.85
    hower
    -0.80
    enegger
    -0.71
    ISION
    -0.65
    Alias
    -0.64
     mayoral
    -0.64
    stown
    -0.64
    Legend
    -0.63
    Alert
    -0.63
    astern
    -0.62
    POSITIVE LOGITS
     oxid
    0.87
    uria
    0.78
     appliances
    0.76
     combustion
    0.75
    animate
    0.75
    properties
    0.75
     additives
    0.75
     recy
    0.74
     substr
    0.72
     packaging
    0.72
    Activations Density 0.869%

    No Known Activations