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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. 1-RES-JB
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    Explanations

    randomly assigned or occurring events or selections

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "randomly."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gers
    -0.84
    FACE
    -0.81
    vid
    -0.79
    GET
    -0.78
    nee
    -0.76
    ger
    -0.75
    href
    -0.72
    eur
    -0.69
    media
    -0.67
     Esp
    -0.67
    POSITIVE LOGITS
     randomly
    1.42
     sampled
    0.89
     combust
    0.88
    selected
    0.86
     regenerate
    0.84
     disqualified
    0.82
     random
    0.81
    random
    0.80
     Pengu
    0.78
     randomized
    0.78
    Activations Density 0.008%

    No Known Activations