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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. 11-RES-JB
    11. 23291
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    Explanations

    phrases related to present time and current events

    oai_token-act-pair · gpt-3.5-turbo

    mentions of current events or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     later
    -0.93
     afterward
    -0.91
     afterwards
    -0.88
     THEN
    -0.88
    later
    -0.87
     secondly
    -0.86
    Secondly
    -0.83
     subsequently
    -0.83
     thereafter
    -0.79
     Secondly
    -0.79
    POSITIVE LOGITS
     only
    0.93
    only
    0.80
     ONLY
    0.72
    Only
    0.72
    glers
    0.63
     lacks
    0.63
     Only
    0.62
    istar
    0.61
     consists
    0.59
     barely
    0.58
    Activations Density 0.276%

    No Known Activations