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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. 8943
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    Explanations

    proper nouns related to people's names, possibly with a pattern of 'Moy' followed by a numeric value

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the names "Moy" and "Moss."

    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
    Not in Any Lists

    No Comments

    Negative Logits
    oice
    -0.72
     gradient
    -0.70
    FTWARE
    -0.64
     PG
    -0.62
    ynchron
    -0.62
     dysph
    -0.62
    uality
    -0.61
     Wonderland
    -0.61
     Nile
    -0.60
    wcs
    -0.59
    POSITIVE LOGITS
    nih
    1.09
    ster
    1.00
    sters
    0.93
    roth
    0.91
    wich
    0.91
    borough
    0.90
    es
    0.86
    croft
    0.84
    sta
    0.83
    stead
    0.82
    Activations Density 0.039%

    No Known Activations