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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. 9-RES-JB
    11. 16536
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    INDEX
    Explanations

    phrases related to sports and athletic performances

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and introspection

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     coerc
    -0.98
     nonviolent
    -0.89
     ordinary
    -0.84
     statutory
    -0.84
     enroll
    -0.82
     triv
    -0.81
     segreg
    -0.80
     federal
    -0.79
     nesting
    -0.79
     prolifer
    -0.79
    POSITIVE LOGITS
    ï¸ı
    1.45
    laughs
    1.27
    Coach
    1.25
    Favorite
    1.17
    Laughs
    1.14
    Reply
    1.10
    ESPN
    1.07
    Fans
    1.06
    Yeah
    1.06
    âĺħâĺħ
    1.06
    Activations Density 0.476%

    No Known Activations