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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. 20153
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    INDEX
    Explanations

    instances of the word "accuracy", with a preference for higher values

    oai_token-act-pair · gpt-3.5-turbo

    references to accuracy and precision in measurements or predictions

    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
    sg
    -0.78
    joining
    -0.75
     Saga
    -0.70
    asa
    -0.68
     Franch
    -0.68
    rament
    -0.67
    Bi
    -0.67
    JECT
    -0.67
    tk
    -0.65
     Ala
    -0.65
    POSITIVE LOGITS
    uracy
    1.29
     guiActiveUn
    0.88
    acies
    0.88
    iencies
    0.85
     confir
    0.83
     accuracy
    0.80
     margin
    0.80
    ously
    0.79
     inacc
    0.78
     precision
    0.76
    Activations Density 0.028%

    No Known Activations