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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. 8-RES-JB
    11. 9853
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    Explanations

    phrases related to a period of time

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of time-related phrases and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Responsibility
    -0.79
    -)
    -0.75
    xit
    -0.61
    egu
    -0.61
    Definition
    -0.60
    inventoryQuantity
    -0.60
     Error
    -0.57
     UPS
    -0.57
    version
    -0.57
     Terms
    -0.57
    POSITIVE LOGITS
     culminating
    0.89
     supplemented
    0.89
     until
    0.82
     totaling
    0.82
     accompanied
    0.79
     while
    0.79
     alongside
    0.76
    .
    0.75
     including
    0.74
     hoping
    0.74
    Activations Density 0.826%

    No Known Activations