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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. 2-RES-JB
    11. 9013
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    Explanations

    measurements of height and length

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

    measurements of objects in feet followed by numbers

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sell
    -0.66
    PsyNetMessage
    -0.66
    itans
    -0.65
    uner
    -0.64
    ifiable
    -0.64
    astically
    -0.62
    ulla
    -0.62
     Synd
    -0.61
    acco
    -0.61
    udeb
    -0.61
    POSITIVE LOGITS
    steps
    0.84
    foot
    0.81
    wear
    0.81
    step
    0.80
    lihood
    0.77
    prints
    0.74
    Tree
    0.74
    Foot
    0.74
    loo
    0.73
    feet
    0.72
    Activations Density 0.006%

    No Known Activations