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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. 16273
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    Explanations

    activities related to various industries such as manufacturing, distribution, marketing, and finance

    oai_token-act-pair · gpt-3.5-turbo

    terms related to production and distribution processes

    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
     Mous
    -0.62
     Bened
    -0.53
    osponsors
    -0.52
     tightened
    -0.52
    é¾į
    -0.50
     Dangerous
    -0.49
     Canaver
    -0.49
     Piper
    -0.48
    Ö¼
    -0.47
     Devils
    -0.47
    POSITIVE LOGITS
     etc
    1.35
    etc
    1.10
    â̦)
    0.95
    whatever
    0.80
     ect
    0.72
    â̦
    0.72
     â̦
    0.71
    ...)
    0.68
    â̦.
    0.64
     blah
    0.62
    Activations Density 0.375%

    No Known Activations