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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. 10-RES-JB
    11. 16266
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    Explanations

    weaknesses or vulnerabilities

    oai_token-act-pair · gpt-3.5-turbo

    references to weakness or vulnerability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Collider
    -0.74
     McCann
    -0.72
     Motorsport
    -0.68
     Kart
    -0.65
     Lauren
    -0.65
     Mayhem
    -0.65
    alist
    -0.65
    izoph
    -0.64
     Newly
    -0.64
     Flav
    -0.64
    POSITIVE LOGITS
    nesses
    1.37
    lings
    1.36
    ling
    1.19
    ens
    1.16
    ly
    1.03
    ener
    0.98
    ening
    0.97
    ened
    0.94
    led
    0.92
    minded
    0.92
    Activations Density 0.031%

    No Known Activations