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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. 4958
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    Explanations

    words related to standards or norms

    oai_token-act-pair · gpt-3.5-turbo

    references to social or cultural norms

    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
     straw
    -0.61
    semble
    -0.61
    STON
    -0.61
     Rico
    -0.60
     Khe
    -0.60
    pta
    -0.58
     juices
    -0.58
     Chargers
    -0.57
     Lizard
    -0.57
     Proposition
    -0.57
    POSITIVE LOGITS
    ativity
    1.17
    ality
    1.17
    als
    1.10
    atively
    0.96
    ally
    0.90
    ean
    0.86
    uses
    0.81
    heastern
    0.80
    tti
    0.79
    ALLY
    0.78
    Activations Density 0.036%

    No Known Activations