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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. 4-RES-JB
    11. 20656
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    Explanations

    terms related to legal actions or penalties, especially "prosecution"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal actions and prosecution

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

    No Comments

    Negative Logits
     livest
    -0.83
     nutrit
    -0.76
    olen
    -0.74
    omach
    -0.72
    yip
    -0.72
    FORE
    -0.68
    phies
    -0.67
    ardy
    -0.67
    parser
    -0.66
     ancest
    -0.64
    POSITIVE LOGITS
    eering
    1.00
     prosecuted
    0.96
     prosecution
    0.92
     prosecute
    0.88
    alties
    0.80
     alleges
    0.73
    iary
    0.73
     proceedings
    0.72
     prosecuting
    0.72
     Prosecutors
    0.71
    Activations Density 0.018%

    No Known Activations