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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. 14996
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    Explanations

    phrases related to transportation planning and projects

    oai_token-act-pair · gpt-3.5-turbo

    references to specific transportation projects and agencies

    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
    etus
    -0.73
    owicz
    -0.69
    obin
    -0.68
    thread
    -0.67
     Gong
    -0.62
    ophy
    -0.59
    Cruz
    -0.59
    âķ
    -0.59
    oph
    -0.59
    story
    -0.59
    POSITIVE LOGITS
     officials
    0.97
     Commissioner
    0.90
     inspectors
    0.88
     commissioners
    0.86
     regulates
    0.83
     Dept
    0.83
     spokesman
    0.81
     Commissioners
    0.81
     Inspector
    0.80
     Fisheries
    0.80
    Activations Density 0.346%

    No Known Activations