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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. 5-RES-JB
    6. 12953
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    INDEX
    Explanations

    mentions of something new or recently discovered

    oai_token-act-pair · gpt-3.5-turbo

    the word "newly" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĺħ
    -0.75
    orem
    -0.75
    ocene
    -0.74
    raints
    -0.73
    rice
    -0.72
     sqor
    -0.72
    retty
    -0.69
     Citation
    -0.68
    ashtra
    -0.68
    igraph
    -0.68
    POSITIVE LOGITS
    wed
    1.01
    bie
    0.90
     appointed
    0.89
    ãĤ»
    0.82
     liberated
    0.82
    foundland
    0.80
    cedented
    0.79
     acquired
    0.79
     mint
    0.78
     dubbed
    0.78
    Activations Density 0.016%

    No Known Activations