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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. 18331
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    INDEX
    Explanations

    specific actions or effects related to increasing quantity or intensity of something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to economic and operational efficiency

    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
    ascript
    -0.72
    »Ĵ
    -0.72
    ouse
    -0.68
    oros
    -0.68
    idav
    -0.68
     reformed
    -0.67
     quir
    -0.65
    lished
    -0.64
     Architects
    -0.64
    odcast
    -0.64
    POSITIVE LOGITS
     intensity
    1.04
     capacity
    1.03
     efficiency
    1.00
    capacity
    0.97
    ensity
    0.97
     productivity
    0.97
     incidence
    0.96
     rates
    0.96
     burden
    0.96
     burdens
    0.95
    Activations Density 0.353%

    No Known Activations