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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. 9-RES-JB
    11. 22630
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    Explanations

    phrases or sentences containing the word "never"

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing permanence or unforgettable experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soType
    -0.70
    iHUD
    -0.67
    Newsletter
    -0.67
    MpServer
    -0.64
    76561
    -0.61
    ahime
    -0.60
    Þ
    -0.60
    CI
    -0.59
    Kin
    -0.59
    CRIP
    -0.59
    POSITIVE LOGITS
    theless
    1.22
     underestimate
    1.03
     achieve
    0.95
     admit
    0.91
     forget
    0.90
     forgive
    0.90
     EVER
    0.89
     attain
    0.88
     rematch
    0.86
     succeed
    0.86
    Activations Density 0.043%

    No Known Activations