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    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. 13140
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    Explanations

    dates expressed in ordinal format (e.g., 30th August 2015)

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the article "a" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Enjoy
    -0.90
    coins
    -0.86
    Edit
    -0.84
    DragonMagazine
    -0.77
    Contents
    -0.73
    Area
    -0.71
    lets
    -0.71
    Evil
    -0.71
    <?
    -0.70
    Tier
    -0.70
    POSITIVE LOGITS
     concerted
    1.04
     brief
    1.00
     lengthy
    0.99
     successful
    0.97
     rigorous
    0.95
     protracted
    0.93
     slight
    0.92
     prolonged
    0.92
     hiatus
    0.92
     couple
    0.90
    Activations Density 0.117%

    No Known Activations