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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

    locations described as being located at the top of something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "atop"

    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
    cas
    -0.72
    neg
    -0.71
    Mu
    -0.71
    Neg
    -0.68
    ................................
    -0.66
    ibr
    -0.65
    present
    -0.65
    Ì
    -0.65
    xx
    -0.65
    hood
    -0.64
    POSITIVE LOGITS
     atop
    1.20
     tremend
    0.94
     veter
    0.81
    ¥ŀ
    0.79
    ĺħ
    0.79
    İĭ
    0.79
    conservancy
    0.77
     lapt
    0.77
     glim
    0.76
     nomine
    0.76
    Activations Density 0.002%

    No Known Activations