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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. 14843
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    Explanations

    a specific punctuation mark repeated consecutively

    oai_token-act-pair · gpt-3.5-turbo

    instances of punctuation marks

    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
    Not in Any Lists

    No Comments

    Negative Logits
    uman
    -0.63
    eele
    -0.62
    igham
    -0.59
    xon
    -0.58
     sorts
    -0.57
    edom
    -0.57
    eco
    -0.55
     Travels
    -0.55
    eni
    -0.53
    arthy
    -0.53
    POSITIVE LOGITS
     nor
    2.33
    nor
    2.03
    yet
    1.37
     Nor
    1.34
     anymore
    1.33
    unless
    1.29
     preferring
    1.27
    Nor
    1.26
     unless
    1.18
     whatsoever
    1.14
    Activations Density 0.333%

    No Known Activations