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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. 2128
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    Explanations

    the name "Don"

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Don."

    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
    EStream
    -0.77
     afore
    -0.69
    anwhile
    -0.66
    EStreamFrame
    -0.66
    ULT
    -0.66
     CONTROL
    -0.65
     Austral
    -0.64
    âĹ¼
    -0.64
     ANG
    -0.63
    WARE
    -0.61
    POSITIVE LOGITS
    't
    1.15
    nie
    1.12
    ners
    0.95
    ning
    0.88
     Draper
    0.86
    ors
    0.86
    ates
    0.85
    ny
    0.85
    atives
    0.85
    etsk
    0.84
    Activations Density 0.033%

    No Known Activations