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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. 866
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    Explanations

    phrases related to specific facilities or locations

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the term "facility" in various contexts

    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
    jin
    -0.71
    poll
    -0.70
    plets
    -0.66
    uscript
    -0.66
    sen
    -0.64
    quel
    -0.64
    lihood
    -0.63
    ju
    -0.63
     vengeance
    -0.63
    ohan
    -0.62
    POSITIVE LOGITS
     facility
    1.00
     facilities
    0.98
     Facility
    0.82
     premises
    0.79
     renovations
    0.78
     Facilities
    0.77
     utilization
    0.76
     attendants
    0.73
    tyard
    0.73
    ility
    0.73
    Activations Density 0.016%

    No Known Activations