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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. 7-RES-JB
    11. 20571
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    INDEX
    Explanations

    quotes related to life and personal development

    oai_token-act-pair · gpt-3.5-turbo

    statements that emphasize actions or advice

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abase
    -0.71
    terday
    -0.68
     mutation
    -0.68
     skeletal
    -0.64
    leigh
    -0.59
     contestants
    -0.58
    iqu
    -0.58
    aucas
    -0.58
    rup
    -0.58
     backstage
    -0.58
    POSITIVE LOGITS
    cknow
    1.20
     Otherwise
    1.20
     Ideally
    1.07
     Yourself
    1.05
     Then
    1.05
     Reduce
    1.04
     Provide
    1.04
     Doing
    1.03
     Slowly
    1.03
     Explain
    0.99
    Activations Density 0.479%

    No Known Activations