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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. 795
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    ombat
    -0.80
     masc
    -0.80
     Romantic
    -0.74
     Swanson
    -0.73
     Pair
    -0.70
    akeru
    -0.70
     synerg
    -0.69
    swing
    -0.67
    vantage
    -0.66
    iHUD
    -0.65
    POSITIVE LOGITS
     FOIA
    1.81
     disclosure
    1.65
     redacted
    1.65
     disclosures
    1.57
     declass
    1.50
     confidentiality
    1.49
     subpoen
    1.44
     subpoena
    1.44
     disclosing
    1.39
     divul
    1.35
    Activations Density 0.588%

    No Known Activations