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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. 3-RES-JB
    11. 5043
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    Explanations

    phrases related to genetics, proteomics, and particular gene names

    oai_token-act-pair · gpt-3.5-turbo

    technical terms related to dynamics and protein in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ï¸
    -0.93
     Wilde
    -0.77
    atchewan
    -0.74
     Sunshine
    -0.74
    xual
    -0.74
    âĺĨ
    -0.71
     Hole
    -0.71
     Wonderland
    -0.71
    FUL
    -0.70
    shapeshifter
    -0.70
    POSITIVE LOGITS
     dyn
    1.34
     Dyn
    1.16
    orph
    1.01
    anyl
    1.01
    alog
    0.86
    astically
    0.82
    iazep
    0.81
    appings
    0.81
    ocr
    0.80
    oded
    0.79
    Activations Density 0.014%

    No Known Activations