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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. 4375
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    Explanations

    names or titles of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper names, particularly those of individuals

    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
     underwater
    -0.68
     Oprah
    -0.68
     Naruto
    -0.67
    âĶĢâĶĢ
    -0.67
     LeBron
    -0.65
     railways
    -0.62
     Hurricane
    -0.62
     sail
    -0.61
     Sakura
    -0.61
     Colossus
    -0.59
    POSITIVE LOGITS
    atz
    1.23
    ansky
    1.22
    lett
    1.19
    inger
    1.18
    nick
    1.17
    anson
    1.16
    inski
    1.14
    enstein
    1.14
    acci
    1.13
    enson
    1.12
    Activations Density 0.207%

    No Known Activations