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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. 8696
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    Explanations

    countries and places mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Austria

    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
    ciples
    -0.88
    ned
    -0.82
    cipled
    -0.76
    iating
    -0.75
    izations
    -0.73
    izont
    -0.73
    caps
    -0.72
    estamp
    -0.71
    aver
    -0.69
    asta
    -0.69
    POSITIVE LOGITS
    gerald
    0.85
     Vienna
    0.81
    »Ĵ
    0.76
    ÃĽ
    0.75
    Sov
    0.74
     Ãľ
    0.73
    ãĤ¶
    0.70
     Ferdinand
    0.67
    dinand
    0.66
     Mellon
    0.66
    Activations Density 0.026%

    No Known Activations