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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. 4-RES-JB
    11. 10850
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    oai_token-act-pair · gpt-3.5-turbo

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

    No Comments

    Negative Logits
    boro
    -0.75
     endeav
    -0.71
    heit
    -0.70
    utical
    -0.62
    kees
    -0.60
     equip
    -0.60
    utics
    -0.57
     hust
    -0.57
    abouts
    -0.56
     citiz
    -0.55
    POSITIVE LOGITS
    Meanwhile
    0.88
    Ironically
    0.82
    However
    0.80
    Adding
    0.80
    Newsletter
    0.80
    Indeed
    0.79
    Nevertheless
    0.79
    Furthermore
    0.78
    SPONSORED
    0.78
    Unlike
    0.78
    Activations Density 0.665%

    No Known Activations