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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. 3-RES-JB
    11. 16336
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    oai_token-act-pair · gpt-3.5-turbo

    references to legal proceedings or court-related activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Prosper
    -0.71
    ï¸ı
    -0.71
     Pyro
    -0.70
     livest
    -0.67
     plent
    -0.67
     Saban
    -0.66
    akeru
    -0.65
    jiang
    -0.63
    ÃŁ
    -0.62
     sow
    -0.62
    POSITIVE LOGITS
    rooms
    1.02
    esan
    0.99
    room
    0.92
    auld
    0.91
     hearings
    0.88
     court
    0.86
    breakers
    0.83
    Court
    0.82
    wright
    0.80
    ney
    0.80
    Activations Density 0.030%

    No Known Activations