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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. 3-RES-JB
    11. 43
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    Explanations

    references to established bodies of work or principles

    oai_token-act-pair · gpt-3.5-turbo

    terms related to canon and canonical status in various contexts, particularly in literature and scripture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Antar
    -0.83
    undai
    -0.73
    Beaut
    -0.70
    Frameworks
    -0.70
    Il
    -0.69
    Monitor
    -0.67
     Simulator
    -0.65
    Ey
    -0.64
    gain
    -0.64
     Bad
    -0.64
    POSITIVE LOGITS
    icity
    1.14
    icals
    1.05
    ically
    1.01
    icles
    0.97
    canon
    0.95
     canon
    0.93
    icle
    0.89
    ical
    0.88
    ifiable
    0.87
     canonical
    0.82
    Activations Density 0.018%

    No Known Activations