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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. 7145
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    INDEX
    Explanations

    evaluative statements expressing positive sentiment

    oai_token-act-pair · gpt-3.5-turbo

    references to specific products or items

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Ĭ±
    -0.84
    alties
    -0.79
    ugu
    -0.79
    Ĵ
    -0.77
    ãĤ¹ãĥĪ
    -0.72
    sts
    -0.72
    unctions
    -0.72
    idelines
    -0.71
    xes
    -0.70
    idents
    -0.70
    POSITIVE LOGITS
     guy
    1.15
     sucker
    1.06
     stuff
    0.97
     tutorial
    0.96
     recipe
    0.95
     blog
    0.89
     particular
    0.89
     project
    0.89
     slideshow
    0.88
     thing
    0.88
    Activations Density 0.181%

    No Known Activations