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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. 7-RES-JB
    11. 17982
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    Explanations

    terms related to noise pollution

    oai_token-act-pair · gpt-3.5-turbo

    mentions of noise and its negative implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opez
    -0.79
    erest
    -0.78
    uberty
    -0.78
    lege
    -0.74
    vez
    -0.74
    armac
    -0.71
    folios
    -0.71
    arte
    -0.70
    arenthood
    -0.68
    lete
    -0.68
    POSITIVE LOGITS
     noise
    0.96
     emitted
    0.92
     noises
    0.88
     pollution
    0.88
     emitting
    0.88
     Noise
    0.86
     emanating
    0.85
     amplification
    0.83
     detectors
    0.80
     nuisance
    0.77
    Activations Density 0.035%

    No Known Activations