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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. 6-RES-JB
    11. 18700
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    oai_token-act-pair · gpt-3.5-turbo

    patterns or mentions related to specific statistical data or information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Dunn
    -0.74
     sacrific
    -0.67
     ende
    -0.66
     rack
    -0.65
     Beir
    -0.64
     accomp
    -0.63
     litter
    -0.63
     maneuver
    -0.62
     loader
    -0.61
     silhou
    -0.60
    POSITIVE LOGITS
    ï¸ı
    1.17
    oil
    0.88
    particularly
    0.87
    except
    0.86
    ï¸
    0.86
    OIL
    0.85
    _>
    0.82
    excluding
    0.82
    especially
    0.81
    ///
    0.80
    Activations Density 0.468%

    No Known Activations