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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. 5276
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    Explanations

    financial and business-related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to finance, politics, and social structures

    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
    agame
    -0.69
     Puzzle
    -0.65
    hyde
    -0.60
    ressor
    -0.58
    aminer
    -0.58
    swer
    -0.56
    mma
    -0.55
    ifice
    -0.55
    uana
    -0.55
    iphate
    -0.54
    POSITIVE LOGITS
    loads
    0.82
     versions
    0.77
     levels
    0.72
     panels
    0.69
     considerations
    0.67
     quantities
    0.66
     arrangements
    0.65
     scenarios
    0.65
     commissions
    0.65
     explanations
    0.65
    Activations Density 1.023%

    No Known Activations