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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. 8-RES-JB
    11. 13026
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    Explanations

    phrases related to different places and industries, such as hospitals, ranches, beaches, restaurants, and aircrafts

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns related to various forms of transportation and healthcare

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    DIV
    -0.80
    Ability
    -0.73
    RM
    -0.72
    Phase
    -0.71
    SPONSORED
    -0.71
    Internal
    -0.68
    ELF
    -0.67
    External
    -0.67
    Content
    -0.66
    Discuss
    -0.66
    POSITIVE LOGITS
     salesman
    0.92
     pige
    0.83
     bikini
    0.79
     robbery
    0.77
     diner
    0.76
     robbers
    0.75
     samurai
    0.74
     robber
    0.74
     riots
    0.73
     sailor
    0.72
    Activations Density 0.650%

    No Known Activations