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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. 9887
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    Explanations

    names of locations or individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and places

    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
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    No Comments

    Negative Logits
    20439
    -0.76
     TIME
    -0.70
     RELE
    -0.60
     STATS
    -0.58
     âĺ
    -0.58
    Reloaded
    -0.58
     Nikki
    -0.58
    CLASSIFIED
    -0.57
    BIP
    -0.57
    Economic
    -0.56
    POSITIVE LOGITS
    leck
    0.79
    auld
    0.77
    ynes
    0.76
    lems
    0.75
    ife
    0.73
    ahime
    0.69
    udos
    0.69
    inx
    0.68
    raine
    0.67
    rod
    0.67
    Activations Density 0.421%

    No Known Activations