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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. 1466
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    Explanations

    phrases related to the flow of substances or materials in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the flow and contamination of substances in the environment

    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
    Ü
    -0.69
     motto
    -0.67
    omi
    -0.67
    ItemThumbnailImage
    -0.65
    cffffcc
    -0.62
     Architects
    -0.62
    Legend
    -0.62
    manship
    -0.62
     Idol
    -0.61
    ealous
    -0.60
    POSITIVE LOGITS
     circulation
    0.96
     turbines
    0.86
     pores
    0.86
     tubes
    0.85
     combustion
    0.84
    shore
    0.84
     reservoirs
    0.83
     dams
    0.82
     pipes
    0.81
     bloodstream
    0.81
    Activations Density 0.288%

    No Known Activations