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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. 2598
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    Explanations

    items or objects that are valuable or essential in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to items of value or belongings

    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
    Not in Any Lists

    No Comments

    Negative Logits
    awar
    -0.77
    erate
    -0.74
    thro
    -0.72
    unci
    -0.71
     Prediction
    -0.70
    aeper
    -0.70
    govern
    -0.69
    atism
    -0.68
    ois
    -0.68
    20439
    -0.67
    POSITIVE LOGITS
     items
    1.07
     belongings
    1.02
     looted
    0.94
     bags
    0.93
     vendors
    0.92
    abilia
    0.92
     accessories
    0.90
     packages
    0.89
     boxes
    0.88
     stores
    0.88
    Activations Density 0.220%

    No Known Activations