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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. 7-RES-JB
    11. 9998
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    INDEX
    Explanations

    quantitative measurements like distances, sizes, and quantities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating comparisons or significant quantities in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Advertisement
    -0.67
    ilet
    -0.62
    kinson
    -0.61
    Quote
    -0.60
    ?????
    -0.60
    onut
    -0.59
     Quote
    -0.59
     Chemistry
    -0.59
     Angel
    -0.58
     Cyber
    -0.58
    POSITIVE LOGITS
     resembling
    1.00
    seen
    0.92
    held
    0.81
    designed
    0.78
    isible
    0.77
     Called
    0.76
    idered
    0.76
    imposed
    0.75
     situated
    0.74
    itled
    0.74
    Activations Density 0.513%

    No Known Activations