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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. 12575
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    Explanations

    references to achieving a significant milestone or accomplishment for the first time

    oai_token-act-pair · gpt-3.5-turbo

    phrases that denote "first" occurrences or events

    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
    quickShipAvailable
    -0.79
    lees
    -0.78
    tics
    -0.78
    rencies
    -0.76
    enegger
    -0.73
    assies
    -0.72
     Machines
    -0.70
     embassies
    -0.68
     Chambers
    -0.68
     rooms
    -0.68
    POSITIVE LOGITS
     contender
    0.77
    ivot
    0.72
     apology
    0.65
     broom
    0.64
    word
    0.63
    odge
    0.63
     advantage
    0.63
     apiece
    0.63
     groove
    0.63
    gap
    0.62
    Activations Density 0.314%

    No Known Activations