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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. 10754
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    Explanations

    phrases related to current activities or states

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a state of progress or activity, particularly related to upcoming events or developments

    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
    76561
    -0.67
    mys
    -0.65
    angan
    -0.65
    ãĥ¼ãĥĨãĤ£
    -0.65
    zos
    -0.64
     shorth
    -0.63
    ère
    -0.62
    hiba
    -0.62
    anca
    -0.61
    anco
    -0.60
    POSITIVE LOGITS
    ĪĴ
    0.79
    orthy
    0.77
     ante
    0.69
     stairs
    0.68
    ĵĺ
    0.68
     grabs
    0.67
     pace
    0.65
     Speed
    0.64
     Ballistic
    0.64
     sights
    0.64
    Activations Density 0.131%

    No Known Activations