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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. 11-RES-JB
    11. 14080
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    Explanations

    specific dates such as "Today" and numerical values like a magnitude

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Today" and variations of date references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    framework
    -0.74
    onne
    -0.71
    omething
    -0.70
    EStreamFrame
    -0.66
    arah
    -0.66
    HOW
    -0.66
    etting
    -0.66
     thirds
    -0.63
    leeve
    -0.62
    Ire
    -0.62
    POSITIVE LOGITS
    's
    1.29
     marks
    1.27
     brings
    0.99
     marked
    0.94
     we
    0.92
     sees
    0.87
    ÃŃs
    0.86
     was
    0.86
     is
    0.83
     coincides
    0.83
    Activations Density 0.127%

    No Known Activations