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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. 16720
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    INDEX
    Explanations

    proper nouns, particularly names related to money, earnings, and restructuring

    oai_token-act-pair · gpt-3.5-turbo

    terms related to income and economic structures

    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
    opolis
    -0.83
     cloning
    -0.78
     paran
    -0.77
    opian
    -0.73
     tong
    -0.73
    washing
    -0.71
    crime
    -0.70
     symp
    -0.70
    âĨij
    -0.70
     outsider
    -0.68
    POSITIVE LOGITS
     Earn
    2.87
    Earn
    2.03
    ruct
    1.82
    ructure
    1.36
     deferred
    1.11
     rescind
    1.06
     ann
    0.91
     Tradable
    0.87
    learn
    0.86
     infl
    0.82
    Activations Density 0.031%

    No Known Activations