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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. 9-RES-JB
    11. 13837
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    INDEX
    Explanations

    adjectives related to emotional states or societal concepts

    oai_token-act-pair · gpt-3.5-turbo

    themes related to inevitability and social dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     towed
    -0.81
     orally
    -0.80
     themed
    -0.74
     annot
    -0.68
     labelled
    -0.68
     tagged
    -0.67
     raided
    -0.67
     illegally
    -0.67
     Crate
    -0.67
     boxed
    -0.67
    POSITIVE LOGITS
    eness
    1.77
    ility
    1.70
    iness
    1.62
    liness
    1.58
    ness
    1.57
    ability
    1.57
    itability
    1.50
    leness
    1.50
    iveness
    1.49
    icity
    1.49
    Activations Density 0.525%

    No Known Activations