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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. 8129
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    Explanations

    phrases related to secretive or hidden activities

    oai_token-act-pair · gpt-3.5-turbo

    sentence-ending punctuation

    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
    yip
    -0.78
    ikuman
    -0.77
     thous
    -0.73
     gobl
    -0.72
     imperson
    -0.71
    ŃĶ
    -0.71
     tyr
    -0.70
     aven
    -0.67
     advoc
    -0.66
     solicitor
    -0.66
    POSITIVE LOGITS
    ↵
    1.38
    SPONSORED
    1.22
     Fortunately
    1.18
    <|endoftext|>
    1.16
     Indeed
    1.16
     Moreover
    1.15
    ↵↵
    1.15
     Nonetheless
    1.14
     Thankfully
    1.14
     Ultimately
    1.11
    Activations Density 0.517%

    No Known Activations