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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. 10-RES-JB
    11. 18635
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    Explanations

    mentions of legal terms and court-related contexts, particularly in the field of immigration law

    oai_token-act-pair · gpt-3.5-turbo

    topics related to immigration and legal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ossibility
    -0.75
    erity
    -0.68
    Redditor
    -0.67
    ernaut
    -0.66
    username
    -0.66
     leftover
    -0.65
    thora
    -0.65
    umbs
    -0.64
    iversary
    -0.63
    aeus
    -0.63
    POSITIVE LOGITS
     contexts
    1.83
     situations
    1.60
     environments
    1.38
     arenas
    1.28
     settings
    1.27
     workplaces
    1.26
     context
    1.21
     classrooms
    1.19
     cases
    1.16
     societies
    1.14
    Activations Density 0.336%

    No Known Activations