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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
    11. 12063
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    Explanations

    dates in specific formats

    oai_token-act-pair · gpt-3.5-turbo

    phrases starting with the article "a" or "an"

    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
    ãĥĺãĥ©
    -0.69
    QL
    -0.67
    ashtra
    -0.67
     Yad
    -0.67
     Christy
    -0.65
    inho
    -0.65
     Stub
    -0.65
    Background
    -0.64
    ãĥ¯
    -0.64
    boa
    -0.64
    POSITIVE LOGITS
     arrival
    0.91
     initial
    0.76
     revelation
    0.75
     emergence
    0.74
     unsuccessful
    0.73
     introdu
    0.72
     incident
    0.72
     inception
    0.71
     introduction
    0.70
     accident
    0.69
    Activations Density 0.224%

    No Known Activations