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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. 4-RES-JB
    11. 8540
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    Explanations

    phrases related to sipping or unzipping

    oai_token-act-pair · gpt-3.5-turbo

    words related to various forms of consuming or interacting with liquids

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

    No Comments

    Negative Logits
    taboola
    -0.72
     Osw
    -0.69
    amins
    -0.64
     Fortress
    -0.64
     Palest
    -0.64
     Zed
    -0.61
    geist
    -0.60
    Pa
    -0.59
     Alban
    -0.59
    needs
    -0.59
    POSITIVE LOGITS
    rocal
    0.88
    psey
    0.83
    insula
    0.83
    olicy
    0.82
    avascript
    0.81
    erson
    0.80
    etitive
    0.77
    llah
    0.76
    named
    0.75
    stream
    0.73
    Activations Density 0.013%

    No Known Activations