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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. 2-RES-JB
    11. 1364
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    Explanations

    references to a sports team named "Blues" with varying levels of importance or relevance

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the term "Blues."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lying
    -0.84
    ILY
    -0.81
    ted
    -0.75
    antly
    -0.74
    Population
    -0.72
    Political
    -0.72
    igators
    -0.71
    assment
    -0.68
    ortion
    -0.67
    igated
    -0.66
    POSITIVE LOGITS
    hift
    1.34
     Blues
    1.05
    hirt
    0.97
    creen
    0.95
     blues
    0.86
    berries
    0.83
    pace
    0.80
    haw
    0.78
    hess
    0.74
    forth
    0.71
    Activations Density 0.006%

    No Known Activations