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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. 8-RES-JB
    11. 24158
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    Explanations

    instances of the word "Mont" in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to Monty Python

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.79
    pta
    -0.74
    Thumbnail
    -0.73
    ACTED
    -0.66
     kit
    -0.65
    ãģĦ
    -0.64
    loo
    -0.62
    istics
    -0.62
    OTS
    -0.61
    istical
    -0.61
    POSITIVE LOGITS
    essor
    1.24
    erey
    1.21
    gomery
    1.14
    agne
    1.14
    fort
    1.11
    ré
    1.05
    ague
    1.01
    clair
    1.01
     Blanc
    1.00
    anism
    0.97
    Activations Density 0.026%

    No Known Activations