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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. 9-RES-JB
    11. 16390
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    Explanations

    phrases expressing luck or fortune

    oai_token-act-pair · gpt-3.5-turbo

    expressions of relief or positive outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.78
    omin
    -0.66
    omination
    -0.64
    ums
    -0.64
    abus
    -0.63
     kindred
    -0.63
    aeda
    -0.62
    angles
    -0.62
    oat
    -0.62
    gem
    -0.62
    POSITIVE LOGITS
     fortunately
    0.84
     enough
    0.78
    terday
    0.74
     luckily
    0.73
    nown
    0.69
    adays
    0.69
     thankfully
    0.67
     nobody
    0.65
     there
    0.63
     Reflex
    0.61
    Activations Density 0.043%

    No Known Activations