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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. 16321
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    Explanations

    significant events or milestones

    oai_token-act-pair · gpt-3.5-turbo

    phrases and references to initial occurrences or events

    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
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    No Comments

    Negative Logits
    ingen
    -0.68
    atable
    -0.67
    lang
    -0.66
    tics
    -0.65
    sung
    -0.64
    bara
    -0.62
    haven
    -0.61
    nik
    -0.60
    enough
    -0.60
    rox
    -0.59
    POSITIVE LOGITS
     installment
    0.97
     phase
    0.91
     anniversary
    0.88
     round
    0.84
     responders
    0.82
     batch
    0.79
     annual
    0.79
     stages
    0.78
     ever
    0.77
     iteration
    0.77
    Activations Density 0.130%

    No Known Activations