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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. 1-RES-JB
    11. 18075
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    Explanations

    quantities or numerical data mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "by."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inea
    -0.68
    itled
    -0.66
    ettes
    -0.65
    asy
    -0.65
     "$:/
    -0.65
    elvet
    -0.64
    ational
    -0.64
    atem
    -0.64
    ndum
    -0.64
    istar
    -0.63
    POSITIVE LOGITS
     virtue
    1.26
    laws
    1.01
    products
    0.96
     fiat
    0.84
    gone
    0.78
     multiplying
    0.74
    akuya
    0.74
    product
    0.73
    catch
    0.72
     leaps
    0.69
    Activations Density 0.216%

    No Known Activations