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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. 4-RES-JB
    11. 1515
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    Explanations

    proper nouns and names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of geographical locations and related entities

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

    No Comments

    Negative Logits
    jriwal
    -0.78
    etheless
    -0.70
     dracon
    -0.69
     brim
    -0.60
     carrot
    -0.59
     largeDownload
    -0.58
     irony
    -0.57
     subp
    -0.57
     carbohyd
    -0.56
     priceless
    -0.55
    POSITIVE LOGITS
    oz
    0.80
    ito
    0.76
    ich
    0.71
    illo
    0.71
    Corp
    0.70
    eda
    0.69
    eta
    0.69
    nik
    0.68
    omon
    0.68
    ia
    0.67
    Activations Density 0.573%

    No Known Activations