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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. 1-RES-JB
    11. 22382
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    INDEX
    Explanations

    mentions of the word 'gram'

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements of weight, specifically in grams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Downloadha
    -0.72
    Never
    -0.71
     Occupations
    -0.69
     Retirement
    -0.68
     Rapp
    -0.68
     Citizens
    -0.66
    ESCO
    -0.64
     Palmer
    -0.64
    quished
    -0.63
    Madison
    -0.62
    POSITIVE LOGITS
    matical
    1.57
    matically
    1.36
    ophone
    1.14
     gram
    1.06
    gram
    1.01
    matic
    0.95
    ophon
    0.91
     Gram
    0.89
    ming
    0.89
    mers
    0.88
    Activations Density 0.011%

    No Known Activations