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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. 14579
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    INDEX
    Explanations

    experience related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to experience and qualifications

    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
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    Negative Logits
    tan
    -0.76
    laws
    -0.71
    bye
    -0.66
    anski
    -0.65
    react
    -0.63
     Pengu
    -0.63
    ichick
    -0.63
    abad
    -0.62
    ococ
    -0.59
     Sabha
    -0.59
    POSITIVE LOGITS
    ually
    0.83
    ience
    0.81
    OWS
    0.75
    ienced
    0.73
     firsthand
    0.73
    ooters
    0.72
     gained
    0.71
     Experience
    0.70
    IENCE
    0.66
     experience
    0.66
    Activations Density 0.041%

    No Known Activations