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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. 9-RES-JB
    11. 2372
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "are" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ured
    -0.80
    omez
    -0.75
    insula
    -0.70
    ulates
    -0.69
    urers
    -0.67
    uring
    -0.67
    ingen
    -0.67
    uration
    -0.66
    ues
    -0.66
    ulators
    -0.65
    POSITIVE LOGITS
    tto
    1.31
    tta
    1.21
    lli
    1.21
    ndra
    1.21
    nces
    1.19
    nce
    1.18
    tsky
    1.16
    llo
    1.05
    nda
    1.04
    llan
    1.00
    Activations Density 0.047%

    No Known Activations