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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. 0-RES-JB
    11. 12280
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    Explanations

    proper nouns related to specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of key individuals related to significant events or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rugby
    -0.81
    ão
    -0.79
    lease
    -0.76
    ature
    -0.76
    hower
    -0.75
    ħĭ
    -0.75
    INGTON
    -0.75
     Carolina
    -0.74
     UNC
    -0.74
    NVIDIA
    -0.71
    POSITIVE LOGITS
     Maz
    2.28
     Miz
    1.97
     Zub
    1.95
     Iz
    1.93
     Laz
    1.83
     Haz
    1.83
     Koz
    1.80
     Zak
    1.79
     Ez
    1.73
     Raz
    1.70
    Activations Density 0.067%

    No Known Activations