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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. 4558
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    phrases related to legal outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases relating to evasion or getting away with something

    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
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    Negative Logits
     Cth
    -0.67
     Corps
    -0.57
     heartbeat
    -0.57
     Fusion
    -0.56
    rouse
    -0.56
     testim
    -0.55
     Emer
    -0.54
     Olymp
    -0.54
     Allies
    -0.54
     Dahl
    -0.53
    POSITIVE LOGITS
     unsc
    0.80
     safely
    0.74
    ivated
    0.72
     easy
    0.69
    bage
    0.68
    chwitz
    0.67
    ixed
    0.67
     cheaply
    0.66
    uced
    0.65
    ivating
    0.65
    Activations Density 0.054%

    No Known Activations