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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. 3-RES-JB
    11. 13021
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    Explanations

    instances of phrases expressing a reminder or a call to remember something

    oai_token-act-pair · gpt-3.5-turbo

    the concept of reminders

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hair
    -0.78
    estern
    -0.78
    á
    -0.76
    eh
    -0.75
    gans
    -0.72
    EH
    -0.69
    inals
    -0.69
    ECD
    -0.68
    lat
    -0.68
    efficients
    -0.68
    POSITIVE LOGITS
     reminder
    1.43
     reminders
    1.36
     reminding
    0.98
     remind
    0.96
     refres
    0.85
     prompts
    0.80
     refreshed
    0.79
     vigilance
    0.77
     reminded
    0.74
     remembering
    0.74
    Activations Density 0.009%

    No Known Activations