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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
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    Explanations

    the name "Nam" with varying numerical variations at the end

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Nam" in various contexts

    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
    âķIJâķIJ
    -0.83
     cider
    -0.73
    HOME
    -0.67
    ANGE
    -0.65
     yeast
    -0.64
    UCT
    -0.61
    thumbnails
    -0.61
     conn
    -0.61
     spice
    -0.60
     thumbnail
    -0.60
    POSITIVE LOGITS
     Nam
    1.27
    aji
    1.10
    eless
    1.08
    ibia
    1.08
    omin
    0.93
    nam
    0.92
    emon
    0.91
    ega
    0.86
     Jong
    0.84
    arus
    0.81
    Activations Density 0.006%

    No Known Activations