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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. 7-RES-JB
    11. 8018
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal classifications and offenses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     patiently
    -0.72
    arton
    -0.71
    itely
    -0.70
    otiation
    -0.70
    ento
    -0.69
    raise
    -0.66
    erity
    -0.65
    anchester
    -0.65
    arently
    -0.65
    cies
    -0.65
    POSITIVE LOGITS
     legitimate
    0.86
     worthy
    0.83
     harmless
    0.79
    ¥µ
    0.79
     worthwhile
    0.77
     valid
    0.76
     permanent
    0.76
     beneficial
    0.76
     acceptable
    0.75
     worthless
    0.75
    Activations Density 0.642%

    No Known Activations