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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. 6-RES-JB
    11. 15497
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    Explanations

    references to the Roman numeral "XL" in the content

    oai_token-act-pair · gpt-3.5-turbo

    references to the Keystone XL pipeline

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĸ¬
    -0.91
    ãĥĩãĤ£
    -0.91
    flies
    -0.84
    à©
    -0.83
    ãĤ±
    -0.83
    ãĤ®
    -0.80
    zai
    -0.80
    keeping
    -0.80
    fulness
    -0.80
    Äĩ
    -0.78
    POSITIVE LOGITS
    VII
    1.04
    III
    0.99
    avier
    0.90
    II
    0.90
    VI
    0.88
    oyd
    0.79
    XL
    0.79
    xus
    0.79
    anes
    0.77
     sized
    0.77
    Activations Density 0.019%

    No Known Activations