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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. 23264
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    Explanations

    mentions of receiving or acquiring something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that promote subscription or sign-up for newsletters

    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
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    Negative Logits
     disson
    -0.64
     wasteland
    -0.62
    orrow
    -0.61
    hesis
    -0.59
    chief
    -0.56
    should
    -0.56
     cz
    -0.56
    âĶ
    -0.55
     barring
    -0.54
     CPC
    -0.54
    POSITIVE LOGITS
    cloneembedreportprint
    1.05
     rid
    1.02
    TING
    0.95
     Started
    0.86
     notified
    0.85
    aways
    0.82
    away
    0.80
     acquainted
    0.80
    chell
    0.78
     Tickets
    0.78
    Activations Density 0.030%

    No Known Activations