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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. 10-RES-JB
    11. 5948
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    INDEX
    Explanations

    descriptions of technological advancements and innovations

    oai_token-act-pair · gpt-3.5-turbo

    elements related to software modules and product features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     underestimate
    -0.77
    livion
    -0.76
     occasionally
    -0.73
     occasional
    -0.73
     condol
    -0.72
    bage
    -0.72
     desper
    -0.71
     neglig
    -0.70
     hesitate
    -0.70
     unavoidable
    -0.70
    POSITIVE LOGITS
     Called
    1.52
     Located
    1.23
     Designed
    1.22
     According
    1.20
     Plans
    1.19
     Previously
    1.18
     Currently
    1.18
     Along
    1.12
     Featuring
    1.10
     Named
    1.10
    Activations Density 0.278%

    No Known Activations