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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. 4-RES-JB
    11. 4118
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    Explanations

    phrases indicating desire or intention

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing desires or wishes

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

    No Comments

    Negative Logits
    Offline
    -0.78
     surges
    -0.73
     accelerator
    -0.68
     Orders
    -0.67
    enforcement
    -0.67
    accompanied
    -0.66
    anticipated
    -0.63
    Loader
    -0.63
     orders
    -0.63
    reports
    -0.62
    POSITIVE LOGITS
     be
    1.02
     give
    0.95
     keep
    0.94
    asty
    0.94
     avoid
    0.93
     stay
    0.92
     help
    0.92
     make
    0.90
     maximize
    0.90
    wered
    0.87
    Activations Density 0.342%

    No Known Activations