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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. 5177
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    Explanations

    terms related to various industries and activities, such as manufacturing, sports, scientific fields, and currencies

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to various industries and their production processes

    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
    emonium
    -0.61
    irlf
    -0.60
    natureconservancy
    -0.59
    ollar
    -0.59
    ilogy
    -0.59
    ITNESS
    -0.58
    JM
    -0.58
    ettel
    -0.57
     opio
    -0.57
    onew
    -0.56
    POSITIVE LOGITS
     etc
    0.92
     or
    0.86
    /.
    0.79
     and
    0.77
    /*
    0.76
    /
    0.75
    *.
    0.73
    -,
    0.73
    /$
    0.70
    /_
    0.69
    Activations Density 0.708%

    No Known Activations