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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. 7-RES-JB
    11. 14008
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    Explanations

    proper nouns related to various entities, possibly including names of individuals and companies

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.94
    comed
    -0.90
    editor
    -0.86
    occup
    -0.85
    subject
    -0.84
    erv
    -0.83
    hered
    -0.81
    better
    -0.79
    nec
    -0.79
    rongh
    -0.78
    POSITIVE LOGITS
     Vent
    0.84
     Pradesh
    0.83
     Gin
    0.83
     Yar
    0.80
     TAMADRA
    0.80
     Networks
    0.78
     Sark
    0.77
     Mae
    0.77
     Gul
    0.77
     Faw
    0.76
    Activations Density 0.214%

    No Known Activations