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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. 8-RES-JB
    11. 23797
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    Explanations

    the name "Ke" with different numerical values attached to it

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals with the initials "K" and "e"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.79
    ION
    -0.68
    IONS
    -0.68
     guiActiveUnfocused
    -0.67
     IMAGES
    -0.63
     Gateway
    -0.63
    åħī
    -0.61
    ashtra
    -0.61
    IBLE
    -0.59
    spring
    -0.59
    POSITIVE LOGITS
    eling
    1.17
    ptic
    1.11
    pler
    1.11
    SPA
    1.07
    lder
    1.04
    aton
    1.01
    hma
    0.99
    ck
    0.99
    bye
    0.98
    ppel
    0.97
    Activations Density 0.013%

    No Known Activations