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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. 7-RES-JB
    11. 8804
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    Explanations

    references to individuals or locations named "Barrow" with varying levels of specificity

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "row" followed by numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.78
    ãĥ¤
    -0.77
    £ı
    -0.75
     nomine
    -0.75
     metic
    -0.73
     incent
    -0.71
     Gujar
    -0.70
    ãĥ¼ãĥĨ
    -0.68
    onica
    -0.68
     hail
    -0.66
    POSITIVE LOGITS
    orld
    1.25
    restling
    1.16
    icz
    1.15
    zee
    1.13
    ski
    1.05
    ritten
    0.94
    een
    0.91
    row
    0.90
    ser
    0.89
    shaw
    0.88
    Activations Density 0.040%

    No Known Activations