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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. 2-RES-JB
    11. 1633
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    Explanations

    names of individuals involved in events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals involved in a specific incident

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Metatron
    -0.78
     diamonds
    -0.72
     blinding
    -0.71
    TPP
    -0.70
    ADE
    -0.69
    ãĥīãĥ©ãĤ´ãĥ³
    -0.68
    Interstitial
    -0.67
     crush
    -0.67
     blinded
    -0.67
     rendition
    -0.65
    POSITIVE LOGITS
     Witt
    1.32
    sonian
    1.04
    witz
    1.00
    swer
    0.90
    meyer
    0.86
    enger
    0.86
    lyak
    0.82
    arnaev
    0.81
    hler
    0.81
    erv
    0.78
    Activations Density 0.016%

    No Known Activations