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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. 0-RES-JB
    11. 20249
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    Explanations

    percentages

    oai_token-act-pair · gpt-3.5-turbo

    percentages and ratios in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     optics
    -0.68
     telesc
    -0.59
     Dos
    -0.59
     why
    -0.56
     reciproc
    -0.56
     thorn
    -0.55
     pilgrimage
    -0.55
    £ı
    -0.54
    obi
    -0.54
    forth
    -0.54
    POSITIVE LOGITS
    %
    3.46
    %.
    2.71
    %-
    2.63
    %,
    2.62
    %"
    2.59
    %)
    2.39
    %:
    2.38
    %;
    2.36
    %).
    2.28
     %
    2.21
    Activations Density 0.036%

    No Known Activations