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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. 11-RES-JB
    11. 5024
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    Explanations

    terms related to environmental pollution

    oai_token-act-pair · gpt-3.5-turbo

    references to environmental pollution and its consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    beit
    -0.84
    uscript
    -0.82
    ndra
    -0.81
    ership
    -0.80
    thood
    -0.72
     Ital
    -0.70
    rative
    -0.69
    lando
    -0.67
    ram
    -0.66
    iPhone
    -0.65
    POSITIVE LOGITS
     hazards
    1.16
     contamination
    1.13
     pollution
    1.12
     poisoning
    1.09
     contamin
    1.08
     contaminants
    1.05
     advis
    1.03
     belts
    1.00
     exposures
    0.98
     contaminated
    0.97
    Activations Density 0.079%

    No Known Activations