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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. 4-RES-JB
    11. 5991
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    INDEX
    Explanations

    phrases indicating unlikeliness or difficulty

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the intensity or degree of a situation or characteristic

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

    No Comments

    Negative Logits
    lins
    -0.75
    sburgh
    -0.69
    lest
    -0.69
    agra
    -0.66
    ja
    -0.66
    ajo
    -0.66
    okes
    -0.66
     Colleges
    -0.65
    Runner
    -0.65
    him
    -0.64
    POSITIVE LOGITS
     rare
    0.97
     expensive
    0.89
     unlikely
    0.88
     difficult
    0.88
     inefficient
    0.83
     dangerous
    0.82
     costly
    0.81
     sensitive
    0.80
     unstable
    0.80
     beneficial
    0.79
    Activations Density 0.017%

    No Known Activations