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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. 22695
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    Explanations

    commands or instructions

    oai_token-act-pair · gpt-3.5-turbo

    indications of complex instructions or directions

    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
    cies
    -0.79
    esc
    -0.68
    achus
    -0.68
    ulously
    -0.61
    rament
    -0.61
    alach
    -0.61
    Bloom
    -0.61
    cientious
    -0.60
     hog
    -0.60
    appropri
    -0.60
    POSITIVE LOGITS
    د
    0.72
    argo
    0.67
    theless
    0.67
    west
    0.66
    س
    0.62
     Hockey
    0.61
    fx
    0.60
     Antarctica
    0.60
     Iranians
    0.60
     Wraith
    0.60
    Activations Density 0.266%

    No Known Activations