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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. 10-RES-JB
    11. 5322
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    Explanations

    words related to actions and instructions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to trade and value exchange

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ogether
    -0.62
     versa
    -0.57
    anwhile
    -0.56
     [*
    -0.55
    _.
    -0.52
     afterward
    -0.50
     thereafter
    -0.50
    âķIJ
    -0.50
     UNCLASSIFIED
    -0.49
    }.
    -0.47
    POSITIVE LOGITS
     Belfast
    0.67
     Transgender
    0.53
     NRL
    0.51
     âĢº
    0.51
     Canberra
    0.50
     Raspberry
    0.50
     frontman
    0.50
     Brisbane
    0.50
     cryptocurrency
    0.50
     Adelaide
    0.50
    Activations Density 1.564%

    No Known Activations