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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. 8-RES-JB
    11. 22610
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    Explanations

    phrases related to industrial production or manufacturing

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to production

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    laus
    -0.88
    igmat
    -0.77
    opal
    -0.72
    leans
    -0.71
    nee
    -0.70
    awk
    -0.68
    escription
    -0.67
    cknowled
    -0.67
    lem
    -0.65
    abies
    -0.64
    POSITIVE LOGITS
     quotas
    0.93
     capacity
    0.86
     capacities
    0.84
     output
    0.73
     machinery
    0.72
     quantities
    0.72
     capability
    0.72
     engines
    0.71
     goods
    0.71
     juices
    0.71
    Activations Density 0.058%

    No Known Activations