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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. 11-RES-JB
    11. 7650
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    Explanations

    mentions of books or related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of books

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     VIDEOS
    -0.79
     Bots
    -0.69
    ilitary
    -0.66
    00200000
    -0.66
    amera
    -0.64
     reciproc
    -0.64
    AFP
    -0.61
    OTUS
    -0.60
     distant
    -0.59
     Rhodes
    -0.58
    POSITIVE LOGITS
    stores
    1.59
    marks
    1.49
    seller
    1.43
    worm
    1.40
    shop
    1.38
    worms
    1.34
    marked
    1.31
    keeping
    1.31
    binding
    1.20
    sell
    1.20
    Activations Density 0.073%

    No Known Activations