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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. 9434
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    Explanations

    proper nouns, particularly names like "Gray."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Gray."

    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
    =-=-
    -0.99
    olkien
    -0.87
    urally
    -0.84
    itious
    -0.84
    uador
    -0.83
    =-=-=-=-
    -0.83
    ificial
    -0.81
    ãĥ¼ãĥĨãĤ£
    -0.80
    ãĤ·ãĥ£
    -0.78
    orship
    -0.77
    POSITIVE LOGITS
    hound
    1.05
    fur
    0.95
     Gray
    0.92
    claw
    0.84
    wolf
    0.84
    lings
    0.80
    idge
    0.79
    hawk
    0.79
    fish
    0.77
     Matter
    0.77
    Activations Density 0.005%

    No Known Activations