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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. 1-RES-JB
    11. 6885
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    Explanations

    words related to individual actions or choices

    oai_token-act-pair · gpt-3.5-turbo

    references to individual actions or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gore
    -0.81
     Maid
    -0.75
     Times
    -0.74
    lands
    -0.74
     Kelvin
    -0.71
     Denis
    -0.70
     Tory
    -0.69
    lez
    -0.69
     Morning
    -0.68
     Lady
    -0.67
    POSITIVE LOGITS
    ividual
    1.15
     individually
    1.14
    ividually
    1.12
     identifiable
    1.10
     sized
    0.94
    htaking
    0.90
    ikuman
    0.89
     separately
    0.88
     discrete
    0.88
     tailored
    0.82
    Activations Density 0.003%

    No Known Activations