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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. 13326
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    Explanations

    words related to strong negative feelings or actions, such as "hating" and "cheating."

    oai_token-act-pair · gpt-3.5-turbo

    gerunds and variations of the word "hate."

    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
    earchers
    -0.73
    XX
    -0.73
    lisher
    -0.72
    herty
    -0.71
    shire
    -0.68
    thening
    -0.66
    stanbul
    -0.65
    ãĤ©
    -0.65
    oufl
    -0.64
    MED
    -0.63
    POSITIVE LOGITS
    erness
    0.75
    SHIP
    0.71
    wic
    0.71
    olean
    0.68
    è¦ļéĨĴ
    0.66
     hypoc
    0.64
    eus
    0.63
     Females
    0.62
    htaking
    0.61
     sore
    0.61
    Activations Density 0.026%

    No Known Activations