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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. 6-RES-JB
    11. 17511
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    Explanations

    words related to lines or closures due to various reasons like events, accidents, or maintenance

    oai_token-act-pair · gpt-3.5-turbo

    references to lines, closures, and delays related to traffic and transportation issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nam
    -0.79
    icus
    -0.76
     implants
    -0.75
    sonian
    -0.72
     matured
    -0.70
     candid
    -0.67
     deriv
    -0.67
     lineage
    -0.67
     implant
    -0.66
    atom
    -0.66
    POSITIVE LOGITS
     queues
    0.82
     downtown
    0.82
     curfew
    0.79
     gripped
    0.76
     sidewalks
    0.76
     stricken
    0.75
     outage
    0.74
     congestion
    0.74
     commuters
    0.73
     stopp
    0.72
    Activations Density 0.350%

    No Known Activations