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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. 10-RES-JB
    11. 21526
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    Explanations

    uncommon or unusual events or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    phrases that start with "Interestingly" or "Oddly" which express a sense of curiosity or surprise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omination
    -0.70
    halla
    -0.68
    chairs
    -0.65
    "},"
    -0.64
    angler
    -0.62
    umbers
    -0.62
    owe
    -0.62
    apixel
    -0.60
     paycheck
    -0.60
    CV
    -0.60
    POSITIVE LOGITS
     enough
    1.51
    enough
    1.07
     Enough
    0.95
     though
    0.92
     absent
    0.91
    nown
    0.87
    beit
    0.83
     however
    0.80
     reminiscent
    0.76
    ,
    0.75
    Activations Density 0.047%

    No Known Activations