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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. 3-RES-JB
    11. 9396
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to ZIP codes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raising
    -0.79
    nces
    -0.79
    ership
    -0.76
    =-=-=-=-
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    swer
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    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.71
    uchin
    -0.71
    ¯¯
    -0.70
    nered
    -0.70
     Democr
    -0.69
    POSITIVE LOGITS
     zip
    0.97
    Zip
    0.90
     Zip
    0.89
    zip
    0.78
    ijn
    0.71
     ZIP
    0.71
    INO
    0.69
     sum
    0.68
     Adin
    0.67
     jacket
    0.66
    Activations Density 0.006%

    No Known Activations