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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 3754
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    Explanations

    terms related to legal actions and consequences, specifically focusing on words like "recourse," "impunity," and "prosecute."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal actions and consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itect
    -0.84
     Fantastic
    -0.71
    depend
    -0.68
    ravis
    -0.66
     dehyd
    -0.65
     Zone
    -0.65
     Optim
    -0.65
     Delta
    -0.65
     Panda
    -0.65
     Stranger
    -0.64
    POSITIVE LOGITS
     recourse
    2.62
     impunity
    1.80
     prosecute
    1.63
     prosecuted
    1.52
     prosec
    1.30
     avenues
    1.28
     prosecutions
    1.26
     avenue
    1.23
     prosecuting
    1.21
     redress
    1.18
    Activations Density 0.058%

    No Known Activations