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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. 2-RES-JB
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    Explanations

    references to cups or beverages

    oai_token-act-pair · gpt-3.5-turbo

    references to cups in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IGHTS
    -0.71
    SPONSORED
    -0.69
    vernment
    -0.69
     Voc
    -0.68
     Giuliani
    -0.66
     gearing
    -0.65
    ccording
    -0.62
     anonymity
    -0.59
    chy
    -0.58
    doing
    -0.58
    POSITIVE LOGITS
    cakes
    1.57
    cake
    1.50
    cup
    1.39
     cup
    1.09
     cups
    0.98
    board
    0.90
    bowl
    0.85
    rant
    0.83
    boards
    0.82
    acies
    0.81
    Activations Density 0.008%

    No Known Activations