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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. 20891
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    Explanations

    personal actions or experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and their actions in context

    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
    ãĤ¤ãĥĪ
    -0.79
    soDeliveryDate
    -0.71
    quickShipAvailable
    -0.67
    OULD
    -0.65
    IBLE
    -0.63
    interstitial
    -0.62
    JV
    -0.62
    ãĤ¬
    -0.61
    PRES
    -0.61
     Anyway
    -0.60
    POSITIVE LOGITS
     failed
    1.01
     botched
    0.88
     successfully
    0.87
     publicized
    0.83
     debunked
    0.81
     completed
    0.81
     disembark
    0.79
     unsuccessfully
    0.79
     acquitted
    0.78
     unsuccessful
    0.78
    Activations Density 0.141%

    No Known Activations