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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. 7-RES-JB
    11. 13350
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific terms related to configuration, subscription, and product features in technical or informational contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lus
    -0.65
    utics
    -0.65
    livion
    -0.64
    vertising
    -0.63
    swer
    -0.62
    lbs
    -0.61
    zyk
    -0.61
    pora
    -0.60
    tnc
    -0.60
    uty
    -0.59
    POSITIVE LOGITS
    \":
    0.71
     guiName
    0.68
     guiActive
    0.62
    cknowled
    0.60
     Tradable
    0.60
    ĵĺ
    0.59
    ESSION
    0.59
     retina
    0.59
    iots
    0.57
     *)
    0.57
    Activations Density 0.146%

    No Known Activations