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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. 4-RES-JB
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulia
    -0.86
    oti
    -0.79
    Ti
    -0.78
    ital
    -0.74
    obal
    -0.74
    anan
    -0.73
    nered
    -0.73
    arist
    -0.71
    isin
    -0.70
    ascal
    -0.69
    POSITIVE LOGITS
     mailing
    1.14
     mail
    1.08
     address
    0.92
     mosqu
    0.89
     mailed
    0.89
     receipts
    0.85
     mailbox
    0.82
     Mail
    0.81
     inbox
    0.80
    mail
    0.80
    Activations Density 0.015%

    No Known Activations