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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. 10-RES-JB
    11. 1297
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    Explanations

    mentions of newly published books

    oai_token-act-pair · gpt-3.5-turbo

    mentions of books and their authors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    00200000
    -0.74
     distant
    -0.69
    aples
    -0.68
    cffff
    -0.66
    cffffcc
    -0.65
     webcam
    -0.65
     rigging
    -0.63
     reciproc
    -0.62
     VIDEOS
    -0.60
    xon
    -0.60
    POSITIVE LOGITS
    stores
    1.28
    seller
    1.16
    shop
    1.08
    marks
    1.07
    worm
    0.99
    marked
    0.98
    keeping
    0.94
    worms
    0.93
    itatively
    0.93
    selling
    0.90
    Activations Density 0.047%

    No Known Activations