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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. 10-RES-JB
    6. 22718
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    Explanations

    instances of the word "take" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "take" and its variants in relation to actions or decisions

    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
    mingham
    -0.71
    estamp
    -0.71
    tch
    -0.70
    rehens
    -0.68
    FontSize
    -0.68
    antha
    -0.67
    Score
    -0.64
    gian
    -0.64
    hoff
    -0.64
    vine
    -0.62
    POSITIVE LOGITS
     advantage
    1.24
     refuge
    1.12
     precautions
    1.10
     baths
    1.08
     shortcuts
    1.06
     risks
    1.06
     selfies
    1.00
     vacations
    0.99
     care
    0.98
     steps
    0.95
    Activations Density 0.084%

    No Known Activations