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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. 1-RES-JB
    11. 14200
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    Explanations

    words related to technical terms, such as "thermostat" and "vulnerabilities"

    oai_token-act-pair · gpt-3.5-turbo

    references to thermal properties and related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Riders
    -0.85
     Archdemon
    -0.82
     Barrier
    -0.78
     Providence
    -0.74
     Undead
    -0.74
     Matthews
    -0.73
     Rapp
    -0.72
     Drawn
    -0.70
    ACA
    -0.69
     Returning
    -0.68
    POSITIVE LOGITS
     ther
    1.28
     veter
    0.92
    bledon
    0.90
    ön
    0.87
     toile
    0.85
     proble
    0.79
     conduc
    0.78
     iodine
    0.75
    undai
    0.73
     embr
    0.72
    Activations Density 0.011%

    No Known Activations