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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. 2-RES-JB
    11. 21743
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    terms related to accuracy assessment and evaluation

    oai_token-act-pair · gpt-3.5-turbo

    references to accuracy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    sg
    -0.85
    ÃŁ
    -0.76
    joining
    -0.76
    hibit
    -0.71
    gres
    -0.71
     Pharma
    -0.70
    si
    -0.70
    JECT
    -0.68
    Vert
    -0.67
     Ala
    -0.67
    POSITIVE LOGITS
    uracy
    1.53
     accuracy
    1.17
     inacc
    1.12
     guiActiveUn
    0.98
     mathemat
    0.90
    acies
    0.87
     eleph
    0.87
     Accuracy
    0.87
     nodd
    0.85
     confir
    0.85
    Activations Density 0.011%

    No Known Activations