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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. 9-RES-JB
    11. 19928
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    Explanations

    phrases indicating a trade-off or conflict where one party gains or benefits at the expense of another

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate the cost or consequences incurred by specific groups or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alde
    -0.94
    rete
    -0.75
    kan
    -0.74
    ysis
    -0.71
    fw
    -0.70
    oub
    -0.68
    hari
    -0.67
    anche
    -0.67
    lov
    -0.65
    code
    -0.64
    POSITIVE LOGITS
     detriment
    0.96
     expense
    0.78
     taxpayers
    0.76
     altar
    0.76
     inconvenient
    0.70
     disadvantage
    0.70
    ãĤ«
    0.69
     mercy
    0.66
     sparing
    0.65
    ãĤ¯
    0.63
    Activations Density 0.023%

    No Known Activations