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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. 4-RES-JB
    11. 20418
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    Explanations

    references to books

    oai_token-act-pair · gpt-3.5-turbo

    references to books

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

    No Comments

    Negative Logits
    ilitary
    -0.75
    sembly
    -0.74
     Bots
    -0.70
    xon
    -0.65
     Yin
    -0.64
     distant
    -0.63
    Xi
    -0.60
    hap
    -0.60
     civilian
    -0.59
    asonic
    -0.59
    POSITIVE LOGITS
    stores
    1.56
    marks
    1.25
    seller
    1.25
    shop
    1.14
    marked
    1.08
    worms
    1.06
    worm
    1.03
    books
    1.03
    store
    1.02
    book
    1.01
    Activations Density 0.030%

    No Known Activations