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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. 3-RES-JB
    11. 5753
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    Explanations

    mentions of specific names or terms representing entities or things

    oai_token-act-pair · gpt-3.5-turbo

    references to the letter "H" followed by a number, typically associated with a classification or identification

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.91
    ãĥ¼ãĥĨãĤ£
    -0.86
    EStream
    -0.83
    enhagen
    -0.81
    ãĥ¯
    -0.74
    terday
    -0.73
    ãĤ´ãĥ³
    -0.73
     totality
    -0.72
     Conquest
    -0.70
    ãĥ¼ãĥĨ
    -0.69
    POSITIVE LOGITS
    awk
    1.06
    IGH
    1.05
    umble
    1.04
    olly
    1.03
    ospital
    1.03
    azy
    1.01
    aven
    1.01
    acking
    1.00
    anging
    1.00
    arsh
    1.00
    Activations Density 0.043%

    No Known Activations