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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. 13881
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    Explanations

    words related to business operations and logistics

    oai_token-act-pair · gpt-3.5-turbo

    words related to processes involving management and logistical operations

    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
    ãĥĥãĥī
    -0.71
    igmatic
    -0.67
    comed
    -0.67
    luaj
    -0.66
    chev
    -0.65
    ipedia
    -0.65
    ewitness
    -0.64
    pload
    -0.64
    bledon
    -0.63
    ortium
    -0.63
    POSITIVE LOGITS
     activities
    1.07
     alike
    1.02
     services
    0.99
     strategies
    0.95
     technologies
    0.95
     capabilities
    0.93
     respectively
    0.91
     processes
    0.90
     purposes
    0.89
     industries
    0.89
    Activations Density 0.263%

    No Known Activations