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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. 4-RES-JB
    11. 20491
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    Explanations

    mentions of sharp objects like razors

    oai_token-act-pair · gpt-3.5-turbo

    references to razors and shaving

    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
    ablishment
    -0.83
    ãĤ±
    -0.74
    estation
    -0.71
    EMBER
    -0.70
    anooga
    -0.70
    estine
    -0.69
    κ
    -0.68
     Miranda
    -0.67
    éĹĺ
    -0.66
    ORE
    -0.66
    POSITIVE LOGITS
    brush
    0.94
     shave
    0.91
    stal
    0.91
     blades
    0.90
    blade
    0.88
     shaving
    0.87
    claw
    0.85
    cliffe
    0.85
     Razor
    0.83
    fish
    0.82
    Activations Density 0.010%

    No Known Activations