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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. 0-RES-JB
    11. 513
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    Explanations

    words related to legal or official documents

    oai_token-act-pair · gpt-3.5-turbo

    instances of high activation words indicating importance or emphasis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acebook
    -1.31
     referen
    -1.24
     srf
    -1.03
    razil
    -1.02
     carbohyd
    -1.01
     encount
    -1.00
     Moroc
    -0.99
     predec
    -0.99
    GGGGGGGG
    -0.99
    iflower
    -0.98
    POSITIVE LOGITS
    dain
    0.94
     Lumpur
    0.91
    stal
    0.91
    ................................................................
    0.73
    giene
    0.71
    ×IJ
    0.69
    opian
    0.68
    ciples
    0.68
    idian
    0.66
    ת
    0.66
    Activations Density 1.281%

    No Known Activations