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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 4695
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    INDEX
    Explanations

    mentions of the machine learning term 'ML' and its variations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "ML" related to machine learning

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ML
    -0.69
     mandate
    -0.68
     fluffy
    -0.67
     dy
    -0.64
     surv
    -0.62
     downs
    -0.61
     ducks
    -0.61
     sou
    -0.61
     Sto
    -0.60
     sights
    -0.60
    POSITIVE LOGITS
    ML
    3.42
    ml
    1.28
    MAP
    1.14
    ME
    1.12
    HTML
    1.06
    talk
    1.01
    MB
    1.01
    MM
    1.01
    PLAY
    1.00
    MA
    1.00
    Activations Density 0.008%

    No Known Activations