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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. 8-RES-JB
    11. 22606
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    Explanations

    references to the act of utilizing or employing something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    words related to the usage or utilization of resources or tools

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hra
    -0.71
    hoff
    -0.69
    soon
    -0.65
    itialized
    -0.64
    ikhail
    -0.62
    present
    -0.61
    mortem
    -0.59
    ignt
    -0.58
     nerv
    -0.58
    dyl
    -0.58
    POSITIVE LOGITS
    fully
    1.03
    FUL
    0.96
     aliases
    0.95
    ful
    0.87
     condoms
    0.85
    fulness
    0.85
     computers
    0.81
    full
    0.74
     tools
    0.73
     contraceptives
    0.73
    Activations Density 0.105%

    No Known Activations