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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. 9-RES-JB
    11. 5999
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    Explanations

    incidents related to law enforcement actions and legal proceedings

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal actions or law enforcement outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    verse
    -0.56
     perpend
    -0.55
     persecut
    -0.55
     Crate
    -0.53
    edia
    -0.53
     municip
    -0.52
     roomm
    -0.52
    WARD
    -0.52
     Akin
    -0.52
    azy
    -0.52
    POSITIVE LOGITS
     ensued
    1.33
     occurred
    1.16
     emerged
    1.13
     emerges
    1.09
     occurs
    1.09
     exists
    1.06
     transpired
    1.04
     arose
    1.01
     awaited
    1.00
     arises
    1.00
    Activations Density 0.808%

    No Known Activations