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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5434
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    Explanations

    occurrences of the term "beta" related to software testing

    oai_token-act-pair · gpt-3.5-turbo

    references to beta versions of software or applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    advertisement
    -0.91
    metics
    -0.83
    ĸļ
    -0.83
    erva
    -0.82
    aws
    -0.81
    sworth
    -0.79
    AMI
    -0.76
    UAL
    -0.75
    HCR
    -0.74
    ADRA
    -0.72
    POSITIVE LOGITS
     blocker
    0.82
     blockers
    0.81
     beta
    0.75
     Centauri
    0.72
     testers
    0.71
    beta
    0.71
    Beta
    0.71
     Beta
    0.69
     hump
    0.66
     release
    0.66
    Activations Density 0.015%

    No Known Activations