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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. 14725
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    Explanations

    phrases related to social systems and politics

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly commas

    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
    nih
    -0.70
    vale
    -0.69
    aukee
    -0.64
    ema
    -0.62
    anya
    -0.60
    unic
    -0.58
    angu
    -0.58
    quist
    -0.57
    aughter
    -0.57
    ÅĤ
    -0.56
    POSITIVE LOGITS
     however
    1.22
     meanwhile
    1.15
     alas
    1.11
     moreover
    1.09
     unsurprisingly
    1.00
     huh
    0.99
     namely
    0.95
     albeit
    0.94
     therefore
    0.92
     incidentally
    0.88
    Activations Density 0.249%

    No Known Activations