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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. 3126
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    Explanations

    phrases related to waste management

    oai_token-act-pair · gpt-3.5-turbo

    mentions of waste and waste management topics

    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
    odore
    -0.75
    gdala
    -0.74
     assassinated
    -0.74
    ealous
    -0.74
    ioned
    -0.67
    ACP
    -0.65
    night
    -0.65
    vind
    -0.64
    erity
    -0.63
    uckland
    -0.62
    POSITIVE LOGITS
    fulness
    1.07
     disposal
    0.98
    fully
    0.88
    ware
    0.86
     bins
    0.83
     dumps
    0.81
    gate
    0.79
     Waste
    0.77
     inciner
    0.77
    efully
    0.73
    Activations Density 0.022%

    No Known Activations