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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. 6-RES-JB
    11. 4409
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    Explanations

    names of individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and references to specific individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oggle
    -0.72
    gomery
    -0.66
    ocular
    -0.66
     Surgery
    -0.62
     dism
    -0.62
     unfocusedRange
    -0.61
    icho
    -0.60
    ison
    -0.58
    istry
    -0.57
    icter
    -0.57
    POSITIVE LOGITS
    manship
    1.04
    xual
    0.88
    hurst
    0.80
    plug
    0.77
    auga
    0.74
    hyde
    0.72
    chwitz
    0.72
     unden
    0.70
    zee
    0.70
    shire
    0.68
    Activations Density 0.069%

    No Known Activations