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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. 22510
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    Explanations

    interrogative phrases asking for information or definitions

    oai_token-act-pair · gpt-3.5-turbo

    interrogative phrases starting with "What is."

    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
     Isles
    -0.66
    lems
    -0.64
    tails
    -0.64
     sails
    -0.63
    HM
    -0.62
    heres
    -0.62
    llah
    -0.61
    itches
    -0.61
     Dickinson
    -0.59
     Buccaneers
    -0.58
    POSITIVE LOGITS
    omorphic
    0.93
    nt
    0.78
     happening
    0.70
    ogene
    0.69
     supposed
    0.68
    ?]
    0.68
     presently
    0.64
    actually
    0.64
    Ĥª
    0.64
     Libre
    0.63
    Activations Density 0.087%

    No Known Activations