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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. 6741
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    Explanations

    the word "neat" with varying degrees of enthusiasm

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases that express cleanliness and organization

    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
    GA
    -0.73
    anwhile
    -0.68
    Downloadha
    -0.67
    CVE
    -0.65
     authorized
    -0.64
    asions
    -0.64
    lection
    -0.64
    utical
    -0.64
    7601
    -0.62
     orally
    -0.62
    POSITIVE LOGITS
     neat
    1.22
     tidy
    1.14
    ness
    0.87
    nesses
    0.84
     tid
    0.82
     nifty
    0.76
    icles
    0.76
     neatly
    0.74
    jee
    0.72
    nesday
    0.71
    Activations Density 0.009%

    No Known Activations