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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. 22279
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    Explanations

    phrases indicating the presence or existence of something within a particular context

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "contain" and its variations, indicating the presence of certain elements or substances

    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
    doms
    -0.85
     Sabha
    -0.79
     Seym
    -0.71
    urai
    -0.69
     Airways
    -0.63
    yrim
    -0.63
     athlet
    -0.62
    straight
    -0.61
    boarding
    -0.61
    hon
    -0.60
    POSITIVE LOGITS
    ãĤ£
    0.75
    encies
    0.75
    ãĤ¼ãĤ¦ãĤ¹
    0.74
    ttes
    0.71
    ãĥ¯ãĥ³
    0.70
     sufficient
    0.70
     contents
    0.70
     explosives
    0.69
     lots
    0.68
    nces
    0.68
    Activations Density 0.039%

    No Known Activations