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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. 2-RES-JB
    11. 12900
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    Explanations

    terms related to receiving something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "receiving."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umm
    -0.73
    fall
    -0.69
    sis
    -0.67
    witz
    -0.65
    chn
    -0.63
    ipedia
    -0.61
    spir
    -0.60
    bold
    -0.60
    urb
    -0.60
    ignore
    -0.60
    POSITIVE LOGITS
    ASED
    0.76
     commissions
    0.75
     volunte
    0.75
    osponsors
    0.74
     recipients
    0.72
    soever
    0.71
    Room
    0.71
    dinand
    0.69
     Lauder
    0.69
    Reviewed
    0.69
    Activations Density 0.011%

    No Known Activations