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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. 14060
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    Explanations

    terms related to certifications and documents

    oai_token-act-pair · gpt-3.5-turbo

    terms related to certification and official verification

    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
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    Negative Logits
    axies
    -0.76
    ĸļ
    -0.76
    htar
    -0.72
    ovych
    -0.71
    bill
    -0.71
    Connell
    -0.71
     Sack
    -0.70
    hower
    -0.67
    Ó
    -0.66
    borough
    -0.65
    POSITIVE LOGITS
    ificate
    1.42
     revocation
    1.02
     certificates
    0.99
     certificate
    0.99
    ific
    0.99
     revoked
    0.97
     cert
    0.97
     certification
    0.95
     issuer
    0.93
     certs
    0.90
    Activations Density 0.045%

    No Known Activations