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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. 11-RES-JB
    11. 1024
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "that" indicating announcements or declarations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Thumbnail
    -0.73
    EStream
    -0.69
    anon
    -0.69
     exting
    -0.69
     teasp
    -0.68
    ealous
    -0.66
    omatic
    -0.65
    arse
    -0.64
    inges
    -0.62
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    -0.62
    POSITIVE LOGITS
     they
    0.91
     there
    0.73
     although
    0.72
     he
    0.71
    upon
    0.67
     despite
    0.64
    soever
    0.61
     Tomorrow
    0.60
     while
    0.60
     she
    0.60
    Activations Density 0.166%

    No Known Activations