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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    words related to group activities like chanting and slogans

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "chant" and its variations in the context of organized vocal expression

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

    No Comments

    Negative Logits
     Tycoon
    -0.75
    士
    -0.69
    ulent
    -0.69
    nesota
    -0.68
     compensate
    -0.67
    EStreamFrame
    -0.65
    anthrop
    -0.63
    ships
    -0.63
    ggles
    -0.63
    Gordon
    -0.62
    POSITIVE LOGITS
     chanting
    1.27
     chant
    1.18
     chants
    1.18
     chanted
    1.15
     louder
    0.92
     aloud
    0.91
     loudly
    0.86
     slogans
    0.85
    =\"
    0.81
     sung
    0.79
    Activations Density 0.015%

    No Known Activations