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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8993
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    Explanations

    words related to people's names, particularly those with double overlapping letters like "ss," "oo," "ll," etc., or names like "Paul", "Rand Paul", "Chandler", and "Stephen"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly politicians or public figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yna
    -0.92
    izu
    -0.85
    olson
    -0.84
    uez
    -0.81
     TL
    -0.80
     nail
    -0.79
     haz
    -0.79
    ãĤ´ãĥ³
    -0.77
     Overwatch
    -0.76
    ahime
    -0.76
    POSITIVE LOGITS
     Paul
    1.95
    Paul
    1.83
     Ron
    1.31
     Paula
    1.17
     Rand
    1.17
    Rand
    1.11
    Ron
    1.07
     Paulo
    1.06
     Carol
    0.99
     Philipp
    0.98
    Activations Density 0.187%

    No Known Activations