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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. 6211
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    Explanations

    proper names related to individuals, likely with an emphasis on repeated mentions

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of characters, especially those that are repeated throughout the text

    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
    rylic
    -0.90
    ctic
    -0.90
    emate
    -0.80
    vered
    -0.80
    otonin
    -0.79
    opsis
    -0.79
    culus
    -0.77
    ffen
    -0.76
    oufl
    -0.74
    ctica
    -0.74
    POSITIVE LOGITS
    gets
    0.87
     Hendricks
    0.87
    hound
    0.74
     Wick
    0.73
    ening
    0.71
    giving
    0.70
    inger
    0.70
    ield
    0.69
    YY
    0.68
    burgh
    0.66
    Activations Density 0.022%

    No Known Activations