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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. 13580
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    Explanations

    instances of the word "has" or "had" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "have" in various tenses

    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
    hammad
    -0.67
     Digest
    -0.64
    jam
    -0.63
     guiName
    -0.62
    umping
    -0.61
     flourish
    -0.61
     trope
    -0.57
     Spiegel
    -0.56
    yeah
    -0.55
     Modern
    -0.55
    POSITIVE LOGITS
     been
    1.11
     seen
    1.03
     gotten
    1.00
     heard
    0.98
     consulted
    0.96
     spoken
    0.94
     received
    0.94
     witnessed
    0.89
     watched
    0.87
     undergone
    0.86
    Activations Density 0.207%

    No Known Activations