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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. 15853
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    INDEX
    Explanations

    mentions of quota-related terms or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to quotas in various contexts

    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
    sight
    -0.69
    akening
    -0.67
    rupt
    -0.63
    adden
    -0.61
    ears
    -0.61
    vironment
    -0.61
    gotten
    -0.60
    sp
    -0.60
    sal
    -0.60
    description
    -0.58
    POSITIVE LOGITS
     quota
    1.57
     quotas
    1.54
     allocations
    0.92
     tracts
    0.82
     allot
    0.75
     allocation
    0.73
    ãĥ¼ãĥĨ
    0.70
     allotted
    0.70
     "$:/
    0.69
     linem
    0.68
    Activations Density 0.007%

    No Known Activations