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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. 9-RES-JB
    11. 14222
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    Explanations

    references to various types of offices

    oai_token-act-pair · gpt-3.5-turbo

    references to office spaces and related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oise
    -0.89
    olini
    -0.73
    ivals
    -0.73
    MQ
    -0.73
    ulic
    -0.69
    theless
    -0.68
    izu
    -0.66
    odic
    -0.65
     Haram
    -0.65
    ebook
    -0.64
    POSITIVE LOGITS
    holder
    1.07
    holders
    0.99
    tops
    0.99
     365
    0.89
     suite
    0.89
    room
    0.88
    person
    0.85
    wife
    0.82
     furniture
    0.80
    wives
    0.79
    Activations Density 0.043%

    No Known Activations