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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. 8-RES-JB
    11. 23737
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    Explanations

    phrases related to directives or requests

    oai_token-act-pair · gpt-3.5-turbo

    emotional expressions related to personal experiences and sentiments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    uckland
    -0.78
     shack
    -0.71
    mercial
    -0.69
     shroud
    -0.69
     Downs
    -0.69
    conservancy
    -0.69
    hots
    -0.67
     segreg
    -0.67
     spread
    -0.66
    wagen
    -0.65
    POSITIVE LOGITS
    ľ
    1.14
    ¡
    1.10
    Ļ
    1.06
    «
    1.04
    ¦
    1.02
    º
    1.02
    Ķ
    1.02
    ª
    1.01
    £
    1.01
    ¬
    1.01
    Activations Density 0.141%

    No Known Activations