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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. 10-RES-JB
    11. 7086
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    Explanations

    phrases related to specific names, especially full names and possibly titles

    oai_token-act-pair · gpt-3.5-turbo

    references to themes or symbols represented by a specific character or iconic figure

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     shroud
    -0.76
     Shroud
    -0.75
     Pilgrim
    -0.72
     wom
    -0.72
     Manhattan
    -0.69
     Mous
    -0.68
     spiral
    -0.68
     scatter
    -0.67
     dispers
    -0.66
     cloak
    -0.65
    POSITIVE LOGITS
    ľ
    1.75
    ¬
    1.58
    ¼
    1.36
    º
    1.27
    ł
    1.26
    ¯
    1.23
    ¹
    1.22
    ®
    1.22
    ¡
    1.22
    Ń
    1.20
    Activations Density 0.279%

    No Known Activations