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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. 11554
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    Explanations

    words related to different languages and possibly names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    sequences of characters and symbols, possibly indicating encoding issues or non-standard text elements

    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
    ãĥ¼ãĥĨãĤ£
    -0.78
    DonaldTrump
    -0.71
    âĸ¬
    -0.70
    Frameworks
    -0.69
     bankruptcy
    -0.67
     Registry
    -0.67
     Waterloo
    -0.64
     understandably
    -0.64
     Timeline
    -0.64
     predictably
    -0.63
    POSITIVE LOGITS
    ande
    0.97
    wd
    0.90
    dn
    0.87
    ku
    0.86
    oy
    0.86
    stem
    0.86
    atin
    0.86
    oi
    0.84
    fu
    0.84
    bu
    0.82
    Activations Density 0.265%

    No Known Activations