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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. 7814
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    Explanations

    specific mentions of county names, likely related to legal or law enforcement contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various counties

    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
    furt
    -0.89
    isks
    -0.83
    toc
    -0.82
    inx
    -0.81
    Sov
    -0.80
    acles
    -0.80
    aeus
    -0.79
    Ö¼
    -0.79
    ipedia
    -0.78
    iable
    -0.77
    POSITIVE LOGITS
     Sheriff
    1.27
     sheriff
    1.13
     Jail
    1.11
     County
    1.02
     Commissioners
    1.02
     Supervisor
    1.01
     commissioners
    1.01
     District
    0.99
     Prosecutor
    0.96
     Circuit
    0.95
    Activations Density 0.030%

    No Known Activations