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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. 2549
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    Explanations

    words related to the application or implementation of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of "applying" something or the use of procedures and regulations

    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
    feeding
    -0.72
    Gallery
    -0.69
    \":
    -0.69
     Eden
    -0.66
    ching
    -0.65
    airs
    -0.65
    footed
    -0.65
    asted
    -0.64
    ideshow
    -0.63
    *=-
    -0.63
    POSITIVE LOGITS
     apply
    1.12
     Apply
    1.04
     applied
    0.88
     applying
    0.84
     confir
    0.83
    apply
    0.82
     applies
    0.77
    Apply
    0.76
     applic
    0.76
     applications
    0.75
    Activations Density 0.015%

    No Known Activations