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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. 11256
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    INDEX
    Explanations

    phrases indicating desire, like preference or intention

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express desires or wishes

    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
     Stru
    -0.67
    packing
    -0.66
    furt
    -0.65
     Kinnikuman
    -0.65
    orno
    -0.65
    soDeliveryDate
    -0.65
     Five
    -0.61
    bra
    -0.60
     Watts
    -0.60
     Falls
    -0.60
    POSITIVE LOGITS
     emulate
    1.21
     abolish
    1.00
     amend
    0.98
     recreate
    0.96
     reassure
    0.96
     hear
    0.95
     participate
    0.95
     establish
    0.94
     pursue
    0.94
     postpone
    0.93
    Activations Density 0.129%

    No Known Activations