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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. 19645
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    Explanations

    phrases related to measurements of weight or quantity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mass and physical properties in scientific contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ullivan
    -0.75
    ctuary
    -0.74
    itled
    -0.72
    itual
    -0.69
    uj
    -0.68
    soDeliveryDate
    -0.68
    JECT
    -0.68
    employment
    -0.68
    ovie
    -0.68
    agall
    -0.68
    POSITIVE LOGITS
     ratio
    0.91
     difference
    0.88
     computed
    0.88
     ranges
    0.87
     squared
    0.83
     ratios
    0.81
     discrepancy
    0.79
     coefficient
    0.78
     multiplier
    0.78
     threshold
    0.78
    Activations Density 0.258%

    No Known Activations