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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. 3-RES-JB
    11. 18007
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    Explanations

    references to the word "omnibus" and its variations, possibly related to a specific context such as amusement park rides or technical applications

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "omni" or omnipresence

    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
    Not in Any Lists

    No Comments

    Negative Logits
    URN
    -0.82
     Slate
    -0.75
    âķIJâķIJ
    -0.73
     Values
    -0.69
     Guantanamo
    -0.69
     Goodbye
    -0.69
     Tigers
    -0.68
     Drift
    -0.68
     Bare
    -0.68
     Tycoon
    -0.67
    POSITIVE LOGITS
     omn
    1.16
    ibus
    1.10
    isphere
    1.05
    isd
    0.98
    icol
    0.97
    iversal
    0.93
    isl
    0.93
     tremend
    0.92
    icip
    0.91
    ibl
    0.90
    Activations Density 0.007%

    No Known Activations