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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. 3-RES-JB
    11. 23342
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    Explanations

    references to quotas, especially in business or government contexts

    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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akening
    -0.72
    sight
    -0.71
    rupt
    -0.65
    signed
    -0.64
    sal
    -0.64
    description
    -0.64
    ument
    -0.64
    strap
    -0.63
    turn
    -0.63
    vironment
    -0.63
    POSITIVE LOGITS
     quota
    1.43
     quotas
    1.41
     allocations
    0.86
     tracts
    0.82
     allot
    0.73
     allocation
    0.70
     allotted
    0.66
     berth
    0.65
     linem
    0.64
     cooker
    0.64
    Activations Density 0.007%

    No Known Activations