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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. 4063
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    Explanations

    phrases related to actions done at the cost, detriment, or disadvantage of someone or something else

    oai_token-act-pair · gpt-3.5-turbo

    phrases centered around the concept of cost or sacrifice made by one group for the benefit of another

    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
    abad
    -0.71
    oggles
    -0.69
    alde
    -0.69
    oub
    -0.68
    ortium
    -0.67
     overfl
    -0.64
    kan
    -0.63
    knit
    -0.63
    ysis
    -0.63
    gon
    -0.62
    POSITIVE LOGITS
     detriment
    0.87
     altar
    0.77
     thereof
    0.76
     expense
    0.74
    ħĭ
    0.74
    othal
    0.67
    edia
    0.64
    liest
    0.63
    iveness
    0.63
    Ĥİ
    0.62
    Activations Density 0.042%

    No Known Activations