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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. 7-RES-JB
    11. 2952
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    Explanations

    phrases related to time periods, specifically mentioning years

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific time frames, particularly years or periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agan
    -0.77
    ãĤ¨ãĥ«
    -0.75
    AB
    -0.72
    Otherwise
    -0.68
    ãĤ¢ãĥ«
    -0.67
    emption
    -0.67
    rossover
    -0.66
     Otherwise
    -0.65
    ãĤ´ãĥ³
    -0.64
    DN
    -0.63
    POSITIVE LOGITS
     however
    0.90
     successive
    0.71
     tensions
    0.68
     countless
    0.64
     thousands
    0.64
     numerous
    0.64
     tens
    0.64
     rumors
    0.63
     accumulated
    0.63
     intens
    0.63
    Activations Density 0.152%

    No Known Activations