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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. 22686
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    Explanations

    phrases indicating inclusion and exclusion

    oai_token-act-pair · gpt-3.5-turbo

    references to internal and external contexts or locations

    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
     Blazing
    -0.72
     Huff
    -0.71
     Gleaming
    -0.71
     Lovely
    -0.68
     Width
    -0.68
     Blessing
    -0.67
     Donation
    -0.64
     Vish
    -0.64
     symmetry
    -0.63
     Fraz
    -0.63
    POSITIVE LOGITS
    porate
    0.93
     abroad
    0.93
    outside
    0.89
     externally
    0.87
    Outside
    0.85
    online
    0.83
     afterlife
    0.81
    consumer
    0.79
     outside
    0.78
     overseas
    0.78
    Activations Density 0.457%

    No Known Activations