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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
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    Explanations

    references to locations or events related to a place named "Cal" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Cal."

    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
    erness
    -0.86
    ĸļ
    -0.86
    ãģį
    -0.82
    kaya
    -0.76
    ovych
    -0.75
    è¦ļéĨĴ
    -0.71
    éĹĺ
    -0.70
    hift
    -0.69
    Magikarp
    -0.68
    DragonMagazine
    -0.67
    POSITIVE LOGITS
    endars
    1.06
    ibr
    1.04
    iber
    1.00
    cium
    0.94
    cal
    0.94
     ILCS
    0.91
    ient
    0.88
    tex
    0.87
    iphate
    0.87
    orie
    0.86
    Activations Density 0.006%

    No Known Activations