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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. 11-RES-JB
    11. 2187
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    Explanations

    adjectives describing qualities of creative works like movies, games, and stories

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptors that emphasize positive qualities and engaging experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.85
    autions
    -0.81
    sama
    -0.80
    ifles
    -0.77
    famous
    -0.75
    irgin
    -0.71
    UTERS
    -0.71
    ptions
    -0.71
    BILITY
    -0.69
    PLIED
    -0.69
    POSITIVE LOGITS
     array
    0.99
     blend
    0.98
    ly
    0.93
     tale
    0.89
     yet
    0.86
     glimpse
    0.86
     assortment
    0.85
     backdrop
    0.85
     twist
    0.79
     mix
    0.79
    Activations Density 0.251%

    No Known Activations