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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. 21920
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    Explanations

    adjectives related to negative or threatening characteristics

    oai_token-act-pair · gpt-3.5-turbo

    descriptive terms related to sinister or ominous qualities

    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
    ainers
    -0.72
    ©
    -0.71
    share
    -0.69
    hers
    -0.68
    UNCH
    -0.68
    bind
    -0.66
    externalActionCode
    -0.66
    bos
    -0.65
    ainer
    -0.65
    oard
    -0.65
    POSITIVE LOGITS
     sinister
    1.00
     nefarious
    0.85
     undermin
    0.81
     affili
    0.81
     shadowy
    0.79
     plotting
    0.77
     plot
    0.76
     twist
    0.75
     mole
    0.75
     villain
    0.74
    Activations Density 0.025%

    No Known Activations