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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. 6-RES-JB
    11. 2774
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    Explanations

    mentions of governmental actions or policies

    oai_token-act-pair · gpt-3.5-turbo

    references to governmental entities or institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ô
    -0.71
    CONT
    -0.70
     Loop
    -0.68
    Rank
    -0.65
     Fortune
    -0.65
    Crime
    -0.63
     Plate
    -0.63
    meyer
    -0.62
    ifer
    -0.62
    RANT
    -0.61
    POSITIVE LOGITS
     ministers
    0.97
    arians
    0.89
     planners
    0.84
     departments
    0.83
     Ministers
    0.81
     helicop
    0.81
     minister
    0.81
     shutdown
    0.80
    wide
    0.78
     watchdog
    0.78
    Activations Density 0.052%

    No Known Activations