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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. 1389
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    Explanations

    things that are arranged in a line or queue

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the words "lining" and "lined."

    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
    reck
    -0.66
     guiIcon
    -0.66
    76561
    -0.66
    è¦ļéĨĴ
    -0.65
    doms
    -0.65
    ILY
    -0.64
    arb
    -0.64
    itars
    -0.63
    Balt
    -0.63
    raltar
    -0.63
    POSITIVE LOGITS
    ups
    0.83
    lines
    0.74
    aments
    0.72
    arity
    0.72
    up
    0.71
    comed
    0.71
    backer
    0.70
    boxes
    0.70
    inarily
    0.68
    upp
    0.66
    Activations Density 0.011%

    No Known Activations