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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. 5973
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    Explanations

    numerical values or numbers mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to social controversies and accusations

    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
     specializing
    -0.61
     specialized
    -0.61
     foremost
    -0.58
     resid
    -0.57
     athlet
    -0.57
     rebuilt
    -0.56
     ideally
    -0.55
     versatile
    -0.55
     facult
    -0.55
    ģĸ
    -0.54
    POSITIVE LOGITS
    errors
    0.84
     accusations
    0.80
     allegation
    0.80
     allegations
    0.79
    message
    0.78
     inacc
    0.78
    Semitism
    0.78
     fiasco
    0.77
     accusation
    0.77
    eness
    0.76
    Activations Density 0.707%

    No Known Activations