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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 3-RES-JB
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    INDEX
    Explanations

    mentions of the word "Liberal" with varying degrees of relevance

    oai_token-act-pair · gpt-3.5-turbo

    references to the Liberal political party

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lished
    -0.75
    bler
    -0.74
    KT
    -0.74
    schild
    -0.72
    ARDS
    -0.71
    arding
    -0.69
    ansom
    -0.69
    $$
    -0.68
    ...]
    -0.68
    displayText
    -0.68
    POSITIVE LOGITS
     Liberals
    0.88
    ism
    0.86
     enclave
    0.81
    ité
    0.80
    ization
    0.78
     Liberal
    0.77
     Democrat
    0.77
    aire
    0.75
     Forces
    0.75
     aspir
    0.75
    Activations Density 0.008%

    No Known Activations