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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. 4561
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    Explanations

    references to specific companies and people in the context of business and politics

    oai_token-act-pair · gpt-3.5-turbo

    references to the company Bain Capital

    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
    displayText
    -0.82
    */(
    -0.79
    ktop
    -0.69
    phis
    -0.68
    perature
    -0.67
     ancest
    -0.67
    HCR
    -0.65
    resents
    -0.64
    Redditor
    -0.64
     allele
    -0.64
    POSITIVE LOGITS
     Bain
    1.10
    bridge
    0.85
    conn
    0.85
    minster
    0.80
     Capital
    0.78
    abal
    0.78
    jobs
    0.73
    esville
    0.73
    Build
    0.72
    imar
    0.72
    Activations Density 0.006%

    No Known Activations