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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5841
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    INDEX
    Explanations

    phrases or entities containing a hyphen followed by a numerical value indicative of ranking or grouping

    oai_token-act-pair · gpt-3.5-turbo

    negative or derogatory terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ballpark
    -0.77
     caution
    -0.75
     expend
    -0.70
     divest
    -0.69
     operating
    -0.68
     share
    -0.68
     debit
    -0.67
     supper
    -0.67
     drink
    -0.66
     breakfast
    -0.66
    POSITIVE LOGITS
    sama
    1.45
    san
    1.31
    kun
    1.25
    chan
    1.21
    based
    1.14
    shaped
    1.13
    Lago
    1.10
    derived
    1.07
    style
    1.06
    vous
    1.05
    Activations Density 0.097%

    No Known Activations