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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. 4013
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    Explanations

    words related to strong emotions, possibly negative or intense ones

    oai_token-act-pair · gpt-3.5-turbo

    words related to harmful or negative consequences

    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
    DragonMagazine
    -0.79
    buster
    -0.75
    geist
    -0.73
    assetsadobe
    -0.73
    wagen
    -0.72
    ¥µ
    -0.71
    hari
    -0.71
    LLOW
    -0.69
     Halls
    -0.69
    )=(
    -0.69
    POSITIVE LOGITS
    orporated
    1.38
    ursions
    1.29
    ursion
    1.29
    ision
    1.25
    isive
    1.14
    isions
    1.13
    arcer
    1.11
    itement
    1.08
    enture
    1.07
    idences
    1.07
    Activations Density 0.005%

    No Known Activations