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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. 3-RES-JB
    11. 696
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    Explanations

    phrases related to law enforcement or legal terms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the root word "polic" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ò
    -0.79
    URA
    -0.76
    stood
    -0.73
    LV
    -0.72
    Hidden
    -0.72
    bite
    -0.71
    conom
    -0.69
    Xi
    -0.69
    Newsletter
    -0.67
    Hung
    -0.66
    POSITIVE LOGITS
    ity
    0.99
    chio
    0.94
    olic
    0.92
     acid
    0.89
     acids
    0.81
    ulty
    0.80
    itionally
    0.78
    ities
    0.78
    enza
    0.74
    ipop
    0.73
    Activations Density 0.015%

    No Known Activations