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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. 5132
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    Explanations

    verb forms related to communication such as writing, saying, and replying in past tense

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to writing or speaking

    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
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    No Comments

    Negative Logits
    sbm
    -0.75
    agra
    -0.62
    channelAvailability
    -0.61
    azeera
    -0.55
    eps
    -0.55
    pees
    -0.54
    versions
    -0.54
    #$#$
    -0.53
    ividual
    -0.52
    ãĥ¼ãĥĨãĤ£
    -0.51
    POSITIVE LOGITS
    :
    1.14
    :"
    1.13
    :[
    0.99
     sarcast
    0.97
    :]
    0.96
     "...
    0.94
     "[
    0.92
     "âĢ¦
    0.88
     bluntly
    0.87
     "'
    0.84
    Activations Density 0.263%

    No Known Activations