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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. 9-RES-JB
    11. 18192
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    Explanations

    phrases related to various business activities and operations

    oai_token-act-pair · gpt-3.5-turbo

    references to organizational and structural elements related to communities or systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     oneself
    -0.88
    ometric
    -0.83
    otropic
    -0.71
    acci
    -0.67
    Rated
    -0.67
    cair
    -0.62
     yourselves
    -0.62
    romy
    -0.61
    legged
    -0.60
    Ey
    -0.59
    POSITIVE LOGITS
     counterparts
    1.07
     counterpart
    0.95
     mates
    0.88
    mates
    0.84
     antics
    0.77
    nings
    0.75
     woes
    0.75
    ings
    0.72
    cles
    0.71
     brethren
    0.71
    Activations Density 0.606%

    No Known Activations