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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. 6-RES-JB
    11. 13550
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    Explanations

    phrases related to contrasts or alternatives

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, specifically commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Slate
    -0.64
     Talks
    -0.61
    ÅĤ
    -0.60
     Theft
    -0.59
     Coverage
    -0.58
    olves
    -0.57
     CLR
    -0.55
    gow
    -0.54
     Others
    -0.54
     Documentation
    -0.54
    POSITIVE LOGITS
     alas
    0.86
     somew
    0.85
     respectively
    0.80
     albeit
    0.79
     depending
    0.78
     um
    0.75
     uh
    0.74
     unsurprisingly
    0.74
    女
    0.72
    according
    0.71
    Activations Density 0.235%

    No Known Activations