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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. 11587
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    Explanations

    proper names of individuals, specifically highlighting the name "Jenny" and "Nora"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names, particularly "Jenny" and "Nora"

    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
    ioch
    -0.79
    ional
    -0.79
    istics
    -0.76
    enegger
    -0.75
    */(
    -0.75
    wealth
    -0.72
    mble
    -0.72
    lict
    -0.70
    igating
    -0.70
    igated
    -0.69
    POSITIVE LOGITS
    acket
    0.75
     Polo
    0.75
    seys
    0.74
    avascript
    0.73
     McCarthy
    0.73
     Jenny
    0.73
     Rabbit
    0.72
    jit
    0.71
    ocket
    0.69
    Jar
    0.68
    Activations Density 0.005%

    No Known Activations