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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. 10-RES-JB
    11. 21483
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    Explanations

    numerical sequences related to technology

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of numerical data or ratings in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    worldly
    -0.61
     omission
    -0.58
    hower
    -0.54
     sourcing
    -0.53
     Predator
    -0.52
     catalogue
    -0.52
     crowds
    -0.52
     salesman
    -0.52
     ledger
    -0.52
     machine
    -0.52
    POSITIVE LOGITS
    ifty
    0.91
    ingers
    0.87
    inches
    0.84
    interstitial
    0.81
    ongyang
    0.77
    gall
    0.77
    igi
    0.75
    star
    0.74
    inning
    0.73
    okemon
    0.73
    Activations Density 0.101%

    No Known Activations