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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. 2-RES-JB
    11. 18564
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    Explanations

    adjectives describing something not harmful or dangerous

    oai_token-act-pair · gpt-3.5-turbo

    words that describe something as non-threatening or safe

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ingo
    -0.76
    funding
    -0.66
    need
    -0.65
    Cla
    -0.64
    lined
    -0.63
    KER
    -0.63
    Bone
    -0.62
    lining
    -0.62
     markets
    -0.61
    Focus
    -0.61
    POSITIVE LOGITS
     harmless
    1.20
     benign
    1.02
     innocuous
    1.01
    mate
    0.79
    »Ĵ
    0.78
     bystand
    0.77
    mates
    0.70
     minded
    0.70
    ality
    0.67
    00200000
    0.67
    Activations Density 0.011%

    No Known Activations