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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. 13689
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    Explanations

    names and surnames, with a higher emphasis on surnames

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or references associated with individuals in the document

    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
    ruciating
    -0.77
    plates
    -0.71
    ģĸ
    -0.68
    otaur
    -0.68
     glim
    -0.67
    natureconservancy
    -0.65
    istered
    -0.65
     Columb
    -0.64
     Midwest
    -0.64
    ndra
    -0.64
    POSITIVE LOGITS
    rez
    1.01
    quez
    0.94
    ques
    0.88
    alez
    0.87
    ombie
    0.86
    etta
    0.84
    irez
    0.84
    ón
    0.83
    eta
    0.83
    uala
    0.82
    Activations Density 0.009%

    No Known Activations