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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. 15541
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    Explanations

    references to the organization "Baylor" within different contexts and settings

    oai_token-act-pair · gpt-3.5-turbo

    references to specific universities or colleges, particularly Baylor

    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
    DonaldTrump
    -0.81
    hire
    -0.65
    otent
    -0.65
    gamer
    -0.63
    */(
    -0.62
     deprivation
    -0.62
    udic
    -0.61
    skirts
    -0.61
    ugu
    -0.61
    igree
    -0.60
    POSITIVE LOGITS
     Haram
    1.08
     Baylor
    0.96
     Bears
    0.95
     Libraries
    0.86
    mson
    0.75
    conn
    0.75
    erity
    0.75
     Instruments
    0.72
    uates
    0.71
     University
    0.71
    Activations Density 0.006%

    No Known Activations