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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. 13860
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    Explanations

    specific instructions or requirements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to recommendations and requirements

    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
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    No Comments

    Negative Logits
    imposed
    -0.84
    alos
    -0.80
    enos
    -0.79
    gemony
    -0.71
    ternity
    -0.70
    xual
    -0.69
    forth
    -0.69
    utra
    -0.69
    ochond
    -0.67
    abiding
    -0.67
    POSITIVE LOGITS
     Accessories
    1.05
     Items
    1.03
     Mods
    0.86
     Products
    0.86
     extras
    0.83
     accessories
    0.83
     Features
    0.81
     accessory
    0.79
     items
    0.78
     Extras
    0.76
    Activations Density 0.091%

    No Known Activations