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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. 8-RES-JB
    11. 10839
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    Explanations

    actions related to attaching or affixing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to fusion or combination of elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    jri
    -0.76
    obbies
    -0.75
    iferation
    -0.75
    itars
    -0.73
    hner
    -0.72
    ascal
    -0.69
    urses
    -0.69
    endars
    -0.68
    alion
    -0.68
    henko
    -0.68
    POSITIVE LOGITS
    EStream
    0.84
     Logged
    0.78
     SEE
    0.78
     ",
    0.70
     www
    0.69
     View
    0.68
     Violent
    0.68
     https
    0.66
    [/
    0.66
    meaning
    0.64
    Activations Density 0.181%

    No Known Activations