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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. 8-RES-JB
    11. 18728
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    Explanations

    mentions of people, especially in groups or quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups of people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tnc
    -0.94
    Accessory
    -0.74
    ļéĨĴ
    -0.70
    Increases
    -0.68
    ãĤ¦
    -0.68
    catentry
    -0.66
    è¡
    -0.64
    \/\/
    -0.63
    IFF
    -0.63
     srfAttach
    -0.63
    POSITIVE LOGITS
     who
    1.03
    uscript
    0.97
     whom
    0.89
    folk
    0.86
     else
    0.85
    opausal
    0.83
    iuses
    0.79
    hood
    0.79
    ourced
    0.78
    else
    0.78
    Activations Density 0.119%

    No Known Activations