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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 17647
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    Explanations

    dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    dates in the format of month and day with high activation values

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ModLoader
    -0.73
    avorite
    -0.72
     expansions
    -0.66
    ulsive
    -0.65
    aghetti
    -0.62
     secretaries
    -0.61
    footed
    -0.61
    found
    -0.61
     Significant
    -0.60
     surging
    -0.60
    POSITIVE LOGITS
    th
    0.87
    Reply
    0.77
    Interstitial
    0.75
    CBC
    0.71
    )</
    0.70
    ember
    0.70
    nown
    0.70
    arth
    0.69
    TH
    0.69
     Feature
    0.68
    Activations Density 0.033%

    No Known Activations