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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. 9-RES-JB
    11. 15482
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    Explanations

    expressions related to the concept of spending time

    oai_token-act-pair · gpt-3.5-turbo

    mentions of spending time and resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elled
    -0.70
    geries
    -0.65
    lar
    -0.63
    ausible
    -0.63
    soDeliveryDate
    -0.62
    orate
    -0.62
    elin
    -0.60
    ensen
    -0.60
     affidav
    -0.60
    ottage
    -0.60
    POSITIVE LOGITS
     discussing
    1.02
     outdoors
    1.01
     worrying
    0.95
     analyzing
    0.93
     exploring
    0.93
     talking
    0.92
     figuring
    0.90
     evaluating
    0.90
     indoors
    0.90
     interacting
    0.88
    Activations Density 0.064%

    No Known Activations