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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. 6-RES-JB
    11. 430
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    Explanations

    words related to offering products or services

    oai_token-act-pair · gpt-3.5-turbo

    references to products and services in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.88
    west
    -0.72
    flation
    -0.71
    Truth
    -0.68
    sweet
    -0.66
    hower
    -0.64
    atics
    -0.64
    wd
    -0.64
    isco
    -0.64
    itability
    -0.64
    POSITIVE LOGITS
    romeda
    0.81
    anwhile
    0.80
     tiss
    0.75
     accessories
    0.74
     behav
    0.73
     frameworks
    0.69
     behavi
    0.69
    vertisement
    0.69
     carbohyd
    0.67
     services
    0.66
    Activations Density 0.313%

    No Known Activations