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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. 10-RES-JB
    11. 23473
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    Explanations

    reward-based language related to incentivizing actions or providing compensation

    oai_token-act-pair · gpt-3.5-turbo

    references to rewards or incentives for certain actions or behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.98
    女
    -0.76
    eteen
    -0.75
    hatt
    -0.75
    ãģ®éŃĶ
    -0.73
    ordes
    -0.71
    olitics
    -0.71
    cffffcc
    -0.71
    gypt
    -0.70
    DragonMagazine
    -0.69
    POSITIVE LOGITS
     completing
    1.17
     failing
    1.07
     violating
    1.06
     complying
    1.03
     submitting
    1.01
     helping
    1.01
     defeating
    1.00
     solving
    0.99
     breaching
    0.99
     doing
    0.99
    Activations Density 0.154%

    No Known Activations