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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. 6648
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    Explanations

    dates

    oai_token-act-pair · gpt-3.5-turbo

    specific dates mentioned in the text

    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
    ylum
    -0.57
     spoiler
    -0.55
     Silence
    -0.54
     Arkham
    -0.51
     proxies
    -0.50
     extant
    -0.49
    bidden
    -0.49
     Silent
    -0.49
    Emer
    -0.49
     improvements
    -0.48
    POSITIVE LOGITS
     29
    0.88
     27
    0.88
     26
    0.84
     19
    0.83
     31
    0.82
     28
    0.79
     21
    0.79
     23
    0.78
     25
    0.76
     22
    0.76
    Activations Density 0.036%

    No Known Activations