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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. 1-RES-JB
    11. 6355
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    Explanations

    words related to negative attributes or malicious intentions

    oai_token-act-pair · gpt-3.5-turbo

    words related to maliciousness or harmfulness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mberg
    -0.78
     Univ
    -0.73
     Hemp
    -0.68
    puter
    -0.67
    ©¶æ
    -0.67
     Ou
    -0.66
     DOE
    -0.62
     Colt
    -0.62
    ETA
    -0.58
    udeb
    -0.58
    POSITIVE LOGITS
    icious
    1.63
    ly
    1.09
    nesses
    1.03
    ãĥ¼ãĥĨãĤ£
    1.01
    NESS
    0.90
    ness
    0.89
    uously
    0.88
    urious
    0.86
    LY
    0.83
    Magikarp
    0.82
    Activations Density 0.006%

    No Known Activations