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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. 2-RES-JB
    11. 11589
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    Explanations

    words related to incitement or provocation of negative emotions or actions

    oai_token-act-pair · gpt-3.5-turbo

    words related to incitement or provocation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.98
    */(
    -0.92
    journal
    -0.76
    assetsadobe
    -0.73
    geist
    -0.71
    buster
    -0.70
    BOOK
    -0.69
    LLOW
    -0.66
    externalActionCode
    -0.66
    masters
    -0.65
    POSITIVE LOGITS
    orporated
    1.20
    ursions
    1.18
    ursion
    1.16
    ision
    1.14
    enture
    1.06
    isions
    1.06
    orpor
    0.95
    isive
    0.95
    idental
    0.93
    ounter
    0.92
    Activations Density 0.006%

    No Known Activations