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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. 4367
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    Explanations

    terms related to specific locations or institutions, particularly those associated with the word "Nort" and "fres"

    oai_token-act-pair · gpt-3.5-turbo

    references to freshness or freshness-related concepts

    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
     Kut
    -0.76
    DragonMagazine
    -0.72
    ãĥĬ
    -0.69
    è¦ļéĨĴ
    -0.69
    ãĥ¡
    -0.68
     Borough
    -0.67
     Cosponsors
    -0.66
    ingly
    -0.66
     Pend
    -0.65
     MacArthur
    -0.65
    POSITIVE LOGITS
    hest
    1.18
     fres
    0.94
    hens
    0.87
    hes
    0.87
    hetically
    0.86
    eties
    0.86
    egu
    0.85
    avored
    0.84
    ased
    0.82
    cos
    0.81
    Activations Density 0.012%

    No Known Activations