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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. 23488
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    Explanations

    data points or statistics

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the word "of" and variations related to quantities or measurements

    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
    erc
    -0.59
    士
    -0.57
    NetMessage
    -0.57
    hee
    -0.56
    ede
    -0.55
    ername
    -0.55
    é¾įåĸļ士
    -0.54
     Walls
    -0.54
     reperto
    -0.53
    SPONSORED
    -0.53
    POSITIVE LOGITS
     sorts
    1.13
     approximately
    1.09
     âĪ¼
    1.01
     160
    0.97
     165
    0.96
     121
    0.96
    approximately
    0.94
     125
    0.93
     85
    0.93
     150
    0.92
    Activations Density 0.107%

    No Known Activations