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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. 9381
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    Explanations

    proper nouns or names of people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals or entities mentioned in the text

    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
     Thumbnails
    -0.77
     Cerberus
    -0.73
     AAA
    -0.69
     1600
    -0.68
     Highlander
    -0.67
     proto
    -0.66
     Leviathan
    -0.66
     CLS
    -0.66
     concentrate
    -0.66
     lounge
    -0.66
    POSITIVE LOGITS
    inski
    1.07
    iak
    1.02
    itz
    1.00
    auer
    0.99
    ley
    0.99
    ahl
    0.97
    zel
    0.97
    atta
    0.97
    enson
    0.96
    zb
    0.95
    Activations Density 0.328%

    No Known Activations