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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. 3-RES-JB
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    INDEX
    Explanations

    the phrase "whether or not"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express conditional statements or questions regarding circumstances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æ©
    -0.69
    stakes
    -0.66
    SI
    -0.66
    lance
    -0.65
    former
    -0.64
     Circuit
    -0.63
    Daily
    -0.61
     Advice
    -0.60
    WAY
    -0.59
    Price
    -0.58
    POSITIVE LOGITS
     necessarily
    1.24
    icably
    1.23
    epad
    1.11
    icable
    1.06
     exactly
    0.90
    ifications
    0.87
     yet
    0.86
     adequately
    0.85
    ifying
    0.85
     bothered
    0.83
    Activations Density 0.162%

    No Known Activations