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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. 10-RES-JB
    11. 20619
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    INDEX
    Explanations

    phrases related to event planning and amenities

    oai_token-act-pair · gpt-3.5-turbo

    references to attractions and activities suitable for families or kids

    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
    weak
    -0.92
    cens
    -0.83
    xxxx
    -0.82
    rational
    -0.79
    á½
    -0.79
    paragraph
    -0.77
    shit
    -0.76
    Filename
    -0.76
    usercontent
    -0.76
    worst
    -0.74
    POSITIVE LOGITS
     workshops
    1.17
     interactive
    1.17
     seminars
    1.14
     restrooms
    1.10
     complimentary
    1.09
     snacks
    1.09
     exhibitions
    1.09
     amenities
    1.07
     tours
    1.06
     concerts
    1.04
    Activations Density 0.332%

    No Known Activations