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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. 22353
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    INDEX
    Explanations

    superlatives related to timing, specifically focusing on the earliest occurrences

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "earliest" events or instances

    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
    mbuds
    -0.88
    par
    -0.88
    do
    -0.79
    ortium
    -0.79
    liga
    -0.77
    mund
    -0.75
    allah
    -0.74
    ovi
    -0.73
    bal
    -0.72
    ourge
    -0.70
    POSITIVE LOGITS
     stages
    0.95
     incarnation
    0.93
     iteration
    0.88
     responders
    0.85
     practicable
    0.82
     earliest
    0.81
     approximation
    0.79
     adop
    0.79
     beginnings
    0.79
     extant
    0.79
    Activations Density 0.019%

    No Known Activations