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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. 8535
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    Explanations

    proper nouns or names mentioned in a document

    oai_token-act-pair · gpt-3.5-turbo

    phrases starting with "the" that refer to various subjects or entities

    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
    Split
    -0.62
    ï
    -0.61
     Catalyst
    -0.60
     Takes
    -0.57
    packages
    -0.57
    taking
    -0.56
    PAC
    -0.56
    pants
    -0.56
    etus
    -0.55
    Vers
    -0.55
    POSITIVE LOGITS
     extent
    1.36
     detriment
    1.04
    venge
    1.03
    merce
    0.88
     tune
    0.86
    rouse
    0.74
     contrary
    0.73
     amaz
    0.72
     dismay
    0.71
     degree
    0.70
    Activations Density 0.109%

    No Known Activations