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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. 5106
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    Explanations

    phrases with numerous instances of the character "â"

    oai_token-act-pair · gpt-3.5-turbo

    sequences of punctuation marks and formatting elements typically found in stylized writing

    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
     prosec
    -0.89
     polic
    -0.83
     unidentified
    -0.83
     pione
    -0.82
     eleph
    -0.82
     negoti
    -0.81
     censored
    -0.80
    ¥ŀ
    -0.79
     undet
    -0.78
     undisclosed
    -0.78
    POSITIVE LOGITS
    But
    1.95
    Yet
    1.91
    Except
    1.84
    That
    1.80
    Fortunately
    1.78
    Advertisement
    1.75
    Thankfully
    1.75
    Unfortunately
    1.75
    However
    1.72
    Well
    1.71
    Activations Density 0.356%

    No Known Activations