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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. 9288
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    Explanations

    dates written in the format (month year) with a higher activation for the year part

    oai_token-act-pair · gpt-3.5-turbo

    references to dates and parentheses

    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
    ortunately
    -0.89
     pione
    -0.80
     metic
    -0.80
     eleph
    -0.75
     nomine
    -0.72
     earthqu
    -0.71
     citiz
    -0.68
    ò
    -0.68
    Þ
    -0.67
     voic
    -0.66
    POSITIVE LOGITS
    19
    1.54
    22
    1.52
    17
    1.51
    18
    1.51
    16
    1.50
    23
    1.50
    21
    1.50
    24
    1.49
    14
    1.46
    26
    1.46
    Activations Density 0.177%

    No Known Activations