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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. 6-RES-JB
    11. 14953
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    Explanations

    phrases related to complexity or intricate processes

    oai_token-act-pair · gpt-3.5-turbo

    the concept of complexity across various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OIL
    -0.72
    ablishment
    -0.71
    HI
    -0.68
    inators
    -0.67
    belt
    -0.66
    UMP
    -0.65
    IGH
    -0.65
    ILA
    -0.65
    ĵ
    -0.65
    vation
    -0.63
    POSITIVE LOGITS
    ioned
    1.14
    mble
    0.82
    urally
    0.76
    ively
    0.75
     layered
    0.75
    lly
    0.74
     complexity
    0.73
    enegger
    0.72
     configurations
    0.71
     facets
    0.71
    Activations Density 0.037%

    No Known Activations