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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. 24198
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    Explanations

    phrases related to new tools, technologies, and products

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "new" and related concepts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    SHIP
    -0.75
    hoe
    -0.74
    conom
    -0.69
     NETWORK
    -0.68
    ãĤ¢ãĥ«
    -0.68
    igraph
    -0.68
     CASE
    -0.64
     Chr
    -0.63
    utterstock
    -0.63
    ulence
    -0.61
    POSITIVE LOGITS
     unfamiliar
    1.16
     inexperienced
    1.07
     improved
    1.05
     refreshed
    1.00
    leans
    0.98
     unexpl
    0.97
     renovated
    0.96
     renewed
    0.94
     revamped
    0.94
     exciting
    0.93
    Activations Density 0.133%

    No Known Activations