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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. 5-RES-JB
    6. 17496
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    INDEX
    Explanations

    specific individuals or entities within a larger context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific roles or labels applied to individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abil
    -0.67
    alysis
    -0.64
    nance
    -0.63
     sorts
    -0.63
    aeda
    -0.63
     Arrows
    -0.61
     Stage
    -0.59
    ogens
    -0.59
    hement
    -0.59
    position
    -0.58
    POSITIVE LOGITS
     apiece
    0.76
    anooga
    0.73
     subp
    0.73
    hander
    0.71
    icka
    0.70
    opal
    0.67
    paio
    0.66
    icipated
    0.64
     summed
    0.64
    uko
    0.63
    Activations Density 0.145%

    No Known Activations