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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. 10-RES-JB
    11. 15011
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    Explanations

    time-related events and actions that happened recently

    oai_token-act-pair · gpt-3.5-turbo

    temporal references and expressions of time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ggles
    -0.76
     Efficiency
    -0.61
     nutshell
    -0.61
    eus
    -0.59
    govern
    -0.58
    ariat
    -0.58
    pires
    -0.57
    Os
    -0.55
    Stats
    -0.54
     Hits
    -0.54
    POSITIVE LOGITS
     sidx
    1.06
     intending
    0.96
     hoping
    0.95
     expecting
    0.92
     morning
    0.90
     wondering
    0.88
     seeking
    0.86
     afternoon
    0.85
     complaining
    0.85
     knowing
    0.84
    Activations Density 0.279%

    No Known Activations