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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. 23363
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    Explanations

    terms related to mentioning or revealing information

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "mention" and related terms indicating omissions or references in the text

    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
    ortment
    -0.88
    emies
    -0.75
    yssey
    -0.72
     teasp
    -0.69
    soDeliveryDate
    -0.68
    nis
    -0.68
     pione
    -0.67
    earchers
    -0.66
    rongh
    -0.64
    ÃĥÃĤ
    -0.63
    POSITIVE LOGITS
     nor
    1.56
     anything
    1.27
     either
    1.12
     anymore
    1.11
     any
    1.09
     whatsoever
    1.09
     or
    0.95
     ANY
    0.93
     anybody
    0.90
    enance
    0.88
    Activations Density 0.295%

    No Known Activations