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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. 9-RES-JB
    11. 1618
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    Explanations

    actions and activities related to movement and interaction with objects

    oai_token-act-pair · gpt-3.5-turbo

    actions related to movement or transportation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortium
    -0.66
     and
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    ibrary
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    £ı
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     ][
    -0.59
    enny
    -0.55
    Plus
    -0.55
    And
    -0.55
     AND
    -0.54
    arger
    -0.54
    POSITIVE LOGITS
     accordingly
    0.86
     alike
    0.78
     promptly
    0.59
     himself
    0.57
    hers
    0.57
     immediately
    0.56
     attRot
    0.55
     proceeded
    0.55
     therein
    0.55
     anew
    0.55
    Activations Density 0.563%

    No Known Activations