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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
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    Explanations

    phrases containing the word "reminder"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of reminders or concepts related to reminding someone of something

    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
    hair
    -0.73
    estern
    -0.73
    á
    -0.71
    gans
    -0.70
    annis
    -0.67
    quer
    -0.67
    inals
    -0.66
    lat
    -0.66
    ties
    -0.65
    anova
    -0.65
    POSITIVE LOGITS
     reminder
    1.33
     reminders
    1.26
     remind
    0.93
     reminding
    0.90
     vigilance
    0.76
     glance
    0.73
     refreshed
    0.72
     refres
    0.72
    fulness
    0.70
     remembering
    0.69
    Activations Density 0.013%

    No Known Activations