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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    instances of the word "recipients" in sentences

    oai_token-act-pair · gpt-3.5-turbo

    the term "recipients" and related references in the context of assistance or benefits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sanity
    -0.74
    lag
    -0.71
     fog
    -0.66
     bolted
    -0.64
    phi
    -0.64
    esian
    -0.62
    peak
    -0.62
    Zen
    -0.62
     Cliff
    -0.60
    bang
    -0.60
    POSITIVE LOGITS
     recipients
    3.86
     recipient
    3.54
     beneficiaries
    2.22
     beneficiary
    1.88
     sender
    1.43
    ipient
    1.40
     donors
    1.32
     winners
    1.28
     donor
    1.25
     recip
    1.24
    Activations Density 0.018%

    No Known Activations