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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 10863
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    Explanations

    mentions of physical office spaces

    oai_token-act-pair · gpt-3.5-turbo

    mentions of office spaces and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    oise
    -0.88
    ï¸
    -0.81
    âķIJâķIJ
    -0.77
     Adin
    -0.77
    Pause
    -0.73
    ebook
    -0.71
    theless
    -0.69
    vous
    -0.69
     Ezekiel
    -0.68
    Beg
    -0.66
    POSITIVE LOGITS
    holder
    0.99
    holders
    0.99
    tops
    0.92
     365
    0.82
    person
    0.81
    endar
    0.80
    gae
    0.80
     clerk
    0.80
    matical
    0.79
    matically
    0.77
    Activations Density 0.024%

    No Known Activations