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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. 2-RES-JB
    11. 5350
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    Explanations

    words related to sustainability and maintenance

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to sustainability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sights
    -0.64
     Rou
    -0.64
    outh
    -0.63
     Ple
    -0.61
    opping
    -0.61
     Camer
    -0.60
     brow
    -0.60
    ammy
    -0.59
    owler
    -0.59
     Osw
    -0.59
    POSITIVE LOGITS
    ably
    1.31
     sustain
    1.30
    ustain
    1.05
    mental
    0.92
     sust
    0.92
     sustaining
    0.89
    ability
    0.86
    urally
    0.85
    ibly
    0.83
    itute
    0.83
    Activations Density 0.008%

    No Known Activations