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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. 18147
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    Explanations

    terms related to waste management and disposal

    oai_token-act-pair · gpt-3.5-turbo

    references to waste management and related issues

    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
    odore
    -0.82
    ealous
    -0.72
     assassinated
    -0.68
     dawn
    -0.66
     promise
    -0.63
    erity
    -0.63
    ORPG
    -0.62
    ACP
    -0.62
    cffffcc
    -0.61
    gdala
    -0.61
    POSITIVE LOGITS
    fulness
    1.30
     disposal
    0.99
    fully
    0.94
    ware
    0.90
    ful
    0.82
    lust
    0.81
    gate
    0.80
     inciner
    0.77
     dumps
    0.76
    azard
    0.74
    Activations Density 0.031%

    No Known Activations