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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. 6620
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    Explanations

    proper nouns or names containing the letters "ay" and specific nouns or verbs with high emphasis

    oai_token-act-pair · gpt-3.5-turbo

    names and proper nouns

    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
     Goblin
    -0.90
     Jugg
    -0.80
     Warp
    -0.75
    Vert
    -0.75
     Chili
    -0.74
     Ital
    -0.74
     DeL
    -0.74
     Devil
    -0.73
     gobl
    -0.73
    Iterator
    -0.73
    POSITIVE LOGITS
    ay
    1.89
    AY
    1.79
    ray
    1.66
    Ay
    1.54
     Ray
    1.53
    Ray
    1.51
     Ay
    1.49
    RAY
    1.47
     Fay
    1.45
     Cay
    1.43
    Activations Density 0.227%

    No Known Activations