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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. 1-RES-JB
    11. 24011
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    Explanations

    mentions related to the act of feeding or providing nourishment

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "feeding" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vu
    -0.89
     UCLA
    -0.66
     Ronaldo
    -0.64
    alkyrie
    -0.64
    Boot
    -0.62
    1027
    -0.61
     Aerospace
    -0.61
    uber
    -0.60
    76561
    -0.60
     Freem
    -0.59
    POSITIVE LOGITS
     feeding
    0.98
     fed
    0.97
     feeds
    0.94
    ezvous
    0.87
    oleon
    0.84
     Feed
    0.84
    feed
    0.82
     obser
    0.82
     horm
    0.81
     Pengu
    0.81
    Activations Density 0.006%

    No Known Activations