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    1. Home
    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. 13240
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    Explanations

    mentions of technology and software-related terms

    oai_token-act-pair · gpt-3.5-turbo

    commas and phrases indicating lists or multiple items

    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
    onse
    -0.74
    uscript
    -0.72
    irie
    -0.69
     Rodham
    -0.66
    ument
    -0.61
    Å«
    -0.61
    Enlarge
    -0.60
    olars
    -0.60
    odes
    -0.60
    Äģ
    -0.59
    POSITIVE LOGITS
     haha
    1.28
     etc
    1.25
     namely
    1.13
     whereas
    1.05
     although
    1.02
     ie
    1.02
     whilst
    0.99
     but
    0.99
     congr
    0.98
     albeit
    0.97
    Activations Density 0.577%

    No Known Activations