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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. 4484
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and symbols

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ensional
    -0.73
    angible
    -0.71
    chev
    -0.69
    onies
    -0.66
    onyms
    -0.65
    isy
    -0.64
    zzle
    -0.63
    ovych
    -0.62
    achi
    -0.60
    Picture
    -0.60
    POSITIVE LOGITS
    ulhu
    0.88
    ãĤ¼ãĤ¦ãĤ¹
    0.74
    arette
    0.72
     Wright
    0.69
     Speedway
    0.68
     Rout
    0.67
    illon
    0.65
    ERA
    0.64
    usting
    0.62
     Coff
    0.62
    Activations Density 0.050%

    No Known Activations