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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 22328
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    Explanations

    phrases related to specific industries or practices, such as alcohol prohibition, marijuana production, online funnels, composting, holograms, and circumcision among others

    oai_token-act-pair · gpt-3.5-turbo

    terms related to prohibition and restrictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uminati
    -0.68
    wx
    -0.66
    regon
    -0.63
    itol
    -0.61
    âķIJâķIJ
    -0.60
    sted
    -0.60
    %%%%
    -0.60
    ymm
    -0.59
    "]=>
    -0.59
    terior
    -0.59
    POSITIVE LOGITS
     concent
    0.73
     cubes
    0.73
     coordin
    0.71
     partic
    0.63
     bushes
    0.62
     substitutes
    0.61
     cube
    0.61
     concentrate
    0.61
     pods
    0.61
     behaves
    0.60
    Activations Density 0.731%

    No Known Activations