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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. 10-RES-JB
    11. 5789
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    Explanations

    dates represented in numbers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the 16th century

    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
    olicy
    -0.79
    onse
    -0.70
    pmwiki
    -0.69
    ossession
    -0.64
    reciation
    -0.64
    plin
    -0.63
    andise
    -0.62
    achu
    -0.62
    acle
    -0.61
    rison
    -0.61
    POSITIVE LOGITS
    384
    1.35
    6666
    1.25
    05
    1.00
    09
    0.99
    th
    0.99
    07
    0.98
    08
    0.94
    03
    0.93
    02
    0.93
    04
    0.92
    Activations Density 0.094%

    No Known Activations