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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. 3-RES-JB
    11. 16793
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    INDEX
    Explanations

    the word "random" and related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of randomness and random occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raints
    -0.85
    ModLoader
    -0.79
    gur
    -0.75
    PRO
    -0.75
    FACE
    -0.73
    dain
    -0.73
    SHARE
    -0.71
    xual
    -0.71
    ippi
    -0.71
    toc
    -0.71
    POSITIVE LOGITS
     assortment
    1.01
    istically
    1.01
    aneously
    0.91
    izable
    0.90
     randomly
    0.89
     random
    0.89
    isable
    0.86
    ised
    0.83
    izer
    0.81
     strangers
    0.76
    Activations Density 0.013%

    No Known Activations