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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. 20530
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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
    izable
    -0.74
     Jelly
    -0.73
    ified
    -0.71
     Sands
    -0.67
    stocks
    -0.66
     Mandela
    -0.66
    ifying
    -0.66
     Dragonbound
    -0.65
     Perkins
    -0.64
    enthal
    -0.64
    POSITIVE LOGITS
    ı
    1.45
    Ķ
    1.41
    ĥ
    1.40
    Ĵ
    1.38
    Ģ
    1.37
    İ
    1.36
    ĸ
    1.36
    ħ
    1.35
    Ń
    1.35
    ķ
    1.33
    Activations Density 0.007%

    No Known Activations