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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. 21352
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    Explanations

    phrases indicating a strong opinion or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express certainty or necessity

    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
     optionally
    -0.71
     admittedly
    -0.69
     Nile
    -0.68
     alternatively
    -0.67
    anwhile
    -0.67
     incidentally
    -0.65
     thence
    -0.65
     equally
    -0.64
     rightfully
    -0.64
     appropriately
    -0.63
    POSITIVE LOGITS
    Buff
    0.73
    uyomi
    0.73
    hin
    0.70
    hing
    0.70
    hig
    0.67
    estate
    0.67
    govtrack
    0.66
    illon
    0.65
    icable
    0.64
    rawdownloadcloneembedreportprint
    0.64
    Activations Density 0.221%

    No Known Activations