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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. 24443
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    Explanations

    phrases related to requirements or necessities

    oai_token-act-pair · gpt-3.5-turbo

    requirements or necessities related to various subjects

    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
     sweats
    -0.68
     americ
    -0.68
    uras
    -0.67
    irection
    -0.63
    amer
    -0.62
    Evil
    -0.60
     encomp
    -0.59
     contrace
    -0.59
    olon
    -0.58
    vironment
    -0.58
    POSITIVE LOGITS
     convincing
    0.93
     prove
    0.88
     convince
    0.86
     persuade
    0.80
    conv
    0.77
     luck
    0.76
     assurances
    0.72
     approve
    0.71
     coax
    0.71
     patience
    0.70
    Activations Density 0.256%

    No Known Activations